Steven Liu

Update philosophy to include other preprocessing classes

1

This PR removes the emphasis on NLP and focuses more on `transformers` being designed for all modalities.

[WIP] Docs for creating a loading script for image datasets

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This PR is a first draft of creating a loading script for image datasets. Feel free to let me know if there are any specificities I'm missing for this. 🙂...

Document loading from relative path

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This PR describes loading a dataset from the Hub by specifying a relative path in `data_dir` or `data_files` in `load_dataset` (see #4757).

Update local loading script docs

1

This PR clarifies the local loading script section to include how to load a dataset after you've modified the local loading script (closes #4732).

Docs review

4

This issue shares some feedback about the latest docs. Really interesting to come back and see what I had written a couple of months ago, let me know what you...

Minor quicktour doc suggestions

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This PR proposes some minor formatting suggestions to the quicktour 🙂 - Some code examples that don't start with `>>>` don't get copied except for the output. - Added a...

Add more model resources

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A continuation of #19767 to add existing official resources (blog posts, notebooks, scripts, etc.) directly to the model docs for 20 of the most popular architectures based on last month's...

[WIP] Update task summary

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This is the second part of updating the task summary to be more conceptual. After a brief introduction and background to the tasks Transformers can solve in [part 1](https://github.com/huggingface/transformers/pull/21014), this...

Model resources contribution

41

Hi friends! 👋 There are a lot of cool existing resources for how to do *x* with *x* model, and we’d like to showcase and aggregate these resources on a...

[docs] LoRA for token classification

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Moves the LoRA for token classification [notebook](https://github.com/huggingface/peft/blob/main/examples/token_classification/peft_lora_token_cls.ipynb) into the docs and adapts it for a less-complicated example instead of training LayoutLM on annotated forms. - [x] complete the training section...