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Yanjun Qi
2021-07-24 23:37:03 -04:00
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6
README.md
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@@ -397,7 +397,11 @@ textattack train --model bert-base-uncased --dataset glue^cola --batch-size 32 -
### To check datasets: `textattack peek-dataset`
To take a closer look at a dataset, use `textattack peek-dataset`. TextAttack will print some cursory statistics about the inputs and outputs from the dataset. For example, `textattack peek-dataset --dataset-from-huggingface snli` will show information about the SNLI dataset from the NLP package.
To take a closer look at a dataset, use `textattack peek-dataset`. TextAttack will print some cursory statistics about the inputs and outputs from the dataset. For example,
```bash
textattack peek-dataset --dataset-from-huggingface snli
```
will show information about the SNLI dataset from the NLP package.
### To list functional components: `textattack list`

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docs/1start/FAQ.md
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@@ -42,6 +42,14 @@ conda activate textattackenv
conda env list
```
If you want to use the most-up-to-date version of textattack (normally with newer bug fixes), you can run the following:
```bash
git clone https://github.com/QData/TextAttack.git
cd TextAttack
pip install .[dev]
```
### 1. How to Train
For example, you can *Train our default LSTM for 50 epochs on the Yelp Polarity dataset:*

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requirements.txt
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@@ -9,7 +9,7 @@ datasets
nltk
numpy<1.19.0 #TF 2.0 requires this
pandas>=1.0.1
scipy==1.4.1
scipy>=1.4.1
torch>=1.7.0,!=1.8
transformers>=3.3.0
terminaltables