mirror of
https://github.com/transformerlab/transformerlab-api.git
synced 2025-04-19 19:36:18 +03:00
507 lines
9.1 KiB
Plaintext
507 lines
9.1 KiB
Plaintext
# This file was autogenerated by uv via the following command:
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# uv pip compile requirements.in -o requirements-no-gpu-uv.txt
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absl-py==2.1.0
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# via
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# rouge-score
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# tensorboard
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accelerate==1.3.0
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# via
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# -r requirements.in
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# peft
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aiofiles==24.1.0
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# via -r requirements.in
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aiohappyeyeballs==2.4.4
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# via aiohttp
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aiohttp==3.11.11
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# via
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# datasets
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# fschat
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# fsspec
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aiosignal==1.3.2
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# via aiohttp
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aiosqlite==0.20.0
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# via -r requirements.in
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annotated-types==0.7.0
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# via pydantic
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anyio==4.8.0
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# via
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# httpx
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# starlette
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# watchfiles
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attrs==25.1.0
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# via aiohttp
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azure-ai-documentintelligence==1.0.2
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# via markitdown
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azure-core==1.33.0
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# via
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# azure-ai-documentintelligence
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# azure-identity
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azure-identity==1.21.0
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# via markitdown
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beautifulsoup4==4.13.3
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# via
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# markdownify
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# markitdown
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brotli==1.1.0
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# via py7zr
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certifi==2024.7.4
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# via
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# httpcore
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# httpx
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# requests
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# sentry-sdk
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cffi==1.17.1
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# via cryptography
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charset-normalizer==2.1.1
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# via
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# markitdown
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# pdfminer-six
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# requests
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click==8.1.8
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# via
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# magika
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# nltk
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# uvicorn
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# wandb
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cobble==0.1.4
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# via mammoth
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coloredlogs==15.0.1
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# via onnxruntime
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cryptography==44.0.2
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# via
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# azure-identity
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# msal
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# pdfminer-six
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# pyjwt
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datasets==2.19.1
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# via
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# -r requirements.in
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# evaluate
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defusedxml==0.7.1
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# via youtube-transcript-api
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dill==0.3.8
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# via
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# datasets
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# evaluate
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# multiprocess
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docker-pycreds==0.4.0
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# via wandb
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einops==0.8.0
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# via -r requirements.in
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et-xmlfile==2.0.0
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# via openpyxl
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evaluate==0.4.3
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# via -r requirements.in
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fastapi==0.115.7
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# via
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# -r requirements.in
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# fschat
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filelock==3.13.1
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# via
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# datasets
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# huggingface-hub
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# torch
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# transformers
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flatbuffers==25.2.10
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# via onnxruntime
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frozenlist==1.5.0
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# via
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# aiohttp
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# aiosignal
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fschat @ git+https://github.com/transformerlab/FastChat
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# via -r requirements.in
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fsspec==2024.2.0
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# via
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# datasets
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# evaluate
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# huggingface-hub
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# torch
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gitdb==4.0.12
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# via gitpython
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gitpython==3.1.44
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# via wandb
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greenlet==3.1.1
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# via sqlalchemy
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grpcio==1.70.0
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# via tensorboard
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h11==0.14.0
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# via
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# httpcore
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# uvicorn
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httpcore==1.0.7
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# via httpx
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httpx==0.28.1
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# via fschat
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huggingface-hub==0.30.2
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# via
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# accelerate
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# datasets
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# evaluate
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# peft
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# sentence-transformers
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# tokenizers
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# transformers
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humanfriendly==10.0
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# via coloredlogs
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idna==3.7
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# via
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# anyio
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# httpx
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# requests
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# yarl
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inflate64==1.0.1
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# via py7zr
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isodate==0.7.2
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# via azure-ai-documentintelligence
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jinja2==3.1.5
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# via torch
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joblib==1.4.2
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# via
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# nltk
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# scikit-learn
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latex2mathml==3.77.0
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# via markdown2
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loralib==0.1.2
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# via -r requirements.in
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lxml==5.3.2
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# via python-pptx
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magika==0.6.1
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# via markitdown
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mammoth==1.9.0
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# via markitdown
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markdown==3.7
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# via tensorboard
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markdown-it-py==3.0.0
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# via rich
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markdown2==2.5.3
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# via fschat
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markdownify==1.1.0
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# via markitdown
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markitdown[all]==0.1.1
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# via -r requirements.in
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markupsafe==2.1.5
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# via
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# jinja2
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# werkzeug
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mdurl==0.1.2
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# via markdown-it-py
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mpmath==1.3.0
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# via sympy
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msal==1.32.0
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# via
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# azure-identity
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# msal-extensions
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msal-extensions==1.3.1
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# via azure-identity
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multidict==6.1.0
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# via
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# aiohttp
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# yarl
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multiprocess==0.70.16
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# via
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# datasets
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# evaluate
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multivolumefile==0.2.3
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# via py7zr
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networkx==3.3
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# via torch
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nh3==0.2.20
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# via fschat
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nltk==3.9.1
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# via rouge-score
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numpy==2.1.2
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# via
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# accelerate
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# datasets
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# evaluate
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# fschat
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# magika
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# onnxruntime
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# pandas
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# peft
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# rouge-score
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# scikit-learn
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# scipy
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# tensorboard
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# tensorboardx
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# torchvision
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# transformers
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nvidia-ml-py3==7.352.0
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# via -r requirements.in
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olefile==0.47
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# via markitdown
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onnxruntime==1.21.0
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# via magika
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openpyxl==3.1.5
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# via markitdown
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packaging==24.1
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# via
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# -r requirements.in
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# accelerate
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# datasets
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# evaluate
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# huggingface-hub
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# onnxruntime
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# peft
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# tensorboard
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# tensorboardx
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# transformers
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pandas==2.2.3
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# via
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# datasets
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# evaluate
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# markitdown
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pdfminer-six==20250327
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# via markitdown
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peft==0.14.0
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# via -r requirements.in
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pillow==11.0.0
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# via
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# python-pptx
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# sentence-transformers
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# torchvision
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platformdirs==4.3.6
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# via wandb
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prompt-toolkit==3.0.50
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# via fschat
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propcache==0.2.1
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# via
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# aiohttp
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# yarl
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protobuf==5.29.3
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# via
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# onnxruntime
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# tensorboard
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# tensorboardx
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# wandb
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psutil==6.1.1
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# via
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# -r requirements.in
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# accelerate
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# fschat
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# peft
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# py7zr
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# wandb
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py7zr==0.22.0
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# via -r requirements.in
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pyarrow==19.0.0
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# via datasets
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pyarrow-hotfix==0.6
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# via datasets
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pybcj==1.0.3
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# via py7zr
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pycparser==2.22
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# via cffi
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pycryptodomex==3.21.0
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# via py7zr
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pydantic==2.10.6
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# via
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# -r requirements.in
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# fastapi
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# fschat
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# pydantic-settings
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# wandb
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pydantic-core==2.27.2
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# via pydantic
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pydantic-settings==2.8.1
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# via fschat
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pydub==0.25.1
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# via markitdown
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pygments==2.19.1
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# via
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# markdown2
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# rich
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pyjwt==2.10.1
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# via msal
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pyppmd==1.1.1
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# via py7zr
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python-dateutil==2.9.0.post0
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# via pandas
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python-dotenv==1.0.1
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# via
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# magika
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# pydantic-settings
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python-multipart==0.0.20
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# via -r requirements.in
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python-pptx==1.0.2
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# via markitdown
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pytz==2024.2
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# via pandas
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pyyaml==6.0.2
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# via
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# accelerate
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# datasets
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# huggingface-hub
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# peft
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# transformers
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# wandb
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# wavedrom
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pyzstd==0.16.2
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# via py7zr
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regex==2024.11.6
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# via
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# nltk
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# tiktoken
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# transformers
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requests==2.32.2
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# via
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# azure-core
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# datasets
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# evaluate
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# fschat
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# huggingface-hub
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# markitdown
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# msal
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# tiktoken
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# transformers
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# wandb
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# youtube-transcript-api
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rich==13.9.4
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# via fschat
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rouge-score==0.1.2
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# via -r requirements.in
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safetensors==0.5.2
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# via
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# accelerate
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# peft
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# transformers
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scikit-learn==1.6.1
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# via sentence-transformers
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scipy==1.15.1
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# via
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# -r requirements.in
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# scikit-learn
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# sentence-transformers
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sentence-transformers==3.4.1
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# via -r requirements.in
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sentencepiece==0.2.0
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# via -r requirements.in
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sentry-sdk==2.22.0
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# via wandb
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setproctitle==1.3.5
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# via wandb
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setuptools==70.2.0
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# via
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# tensorboard
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# wandb
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shortuuid==1.0.13
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# via fschat
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six==1.17.0
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# via
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# azure-core
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# docker-pycreds
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# markdownify
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# python-dateutil
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# rouge-score
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# tensorboard
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# wavedrom
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smmap==5.0.2
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# via gitdb
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sniffio==1.3.1
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# via anyio
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soupsieve==2.6
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# via beautifulsoup4
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speechrecognition==3.14.2
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# via markitdown
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sqlalchemy==2.0.38
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# via -r requirements.in
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starlette==0.45.3
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# via fastapi
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svgwrite==1.4.3
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# via wavedrom
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sympy==1.13.1
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# via
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# onnxruntime
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# torch
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tensorboard==2.18.0
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# via -r requirements.in
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tensorboard-data-server==0.7.2
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# via tensorboard
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tensorboardx==2.6.2.2
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# via -r requirements.in
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texttable==1.7.0
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# via py7zr
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threadpoolctl==3.6.0
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# via scikit-learn
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tiktoken==0.8.0
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# via
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# -r requirements.in
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# fschat
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tokenizers==0.21.0
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# via transformers
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torch==2.6.0
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# via
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# -r requirements.in
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# accelerate
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# peft
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# sentence-transformers
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# torchaudio
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# torchvision
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torchaudio==2.6.0
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# via -r requirements.in
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torchvision==0.21.0
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# via -r requirements.in
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tqdm==4.66.5
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# via
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# datasets
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# evaluate
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# huggingface-hub
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# nltk
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# peft
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# sentence-transformers
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# transformers
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transformers==4.51.0
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# via
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# -r requirements.in
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# peft
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# sentence-transformers
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typing-extensions==4.12.2
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# via
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# aiosqlite
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# anyio
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# azure-ai-documentintelligence
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# azure-core
|
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# azure-identity
|
|
# beautifulsoup4
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|
# fastapi
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|
# huggingface-hub
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|
# pydantic
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|
# pydantic-core
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# python-pptx
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# speechrecognition
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# sqlalchemy
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# torch
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# wandb
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tzdata==2025.1
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# via pandas
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urllib3==1.26.19
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# via
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# requests
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# sentry-sdk
|
|
uvicorn==0.34.0
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|
# via fschat
|
|
wandb==0.19.8
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|
# via -r requirements.in
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|
watchfiles==1.0.4
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# via -r requirements.in
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wavedrom==2.0.3.post3
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# via markdown2
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|
wcwidth==0.2.13
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# via prompt-toolkit
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|
werkzeug==3.1.3
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|
# via
|
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# -r requirements.in
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# tensorboard
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|
xlrd==2.0.1
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# via markitdown
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xlsxwriter==3.2.2
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# via python-pptx
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xxhash==3.5.0
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# via
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# datasets
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# evaluate
|
|
yarl==1.18.3
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|
# via aiohttp
|
|
youtube-transcript-api==1.0.3
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|
# via markitdown
|