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2 changes: 1 addition & 1 deletion docs/index.md
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Expand Up @@ -36,7 +36,7 @@ The key to combine different task together is to make different task with same d
**notice**

* All data will be in csv format - tfkit will use **csv** for all task, normally it will have two columns, first columns is the input of models, the second column is the output of models.
* Plane text with no tokenization - there is no need to tokenize text before training, or do re-calculating for tokenization, tfkit will handle it for you.
* Plain text with no tokenization - there is no need to tokenize text before training, or do re-calculating for tokenization, tfkit will handle it for you.
* No header is needed.

For example, a sentiment classification dataset will be like:
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2 changes: 1 addition & 1 deletion docs/installation.md
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Expand Up @@ -14,7 +14,7 @@ pip install .
```

## Running tfkit
Model you've installed tfkit, you can run with
Once youve installed tfkit, you can run with

### pip installed version:
`tfkit-train`
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