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Remove research projects (#36645)

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* Remove research projects

* Add new README to explain where the projects went

* Trigger tests

* Cleanup all references to research_projects
This commit is contained in:
Matt
2025-03-11 13:47:38 +00:00
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parent ed1807bab3
commit 1e4286fd59
324 changed files with 39 additions and 63649 deletions
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docs/source/en/model_doc/layoutlmv3.md
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@@ -52,7 +52,7 @@ LayoutLMv3 is nearly identical to LayoutLMv2, so we've also included LayoutLMv2
</Tip>
- Demo notebooks for LayoutLMv3 can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/LayoutLMv3).
- Demo scripts can be found [here](https://github.com/huggingface/transformers/tree/main/examples/research_projects/layoutlmv3).
- Demo scripts can be found [here](https://github.com/huggingface/transformers-research-projects/tree/main/layoutlmv3).
<PipelineTag pipeline="text-classification"/>
@@ -61,7 +61,7 @@ LayoutLMv3 is nearly identical to LayoutLMv2, so we've also included LayoutLMv2
<PipelineTag pipeline="token-classification"/>
- [`LayoutLMv3ForTokenClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/research_projects/layoutlmv3) and [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb).
- [`LayoutLMv3ForTokenClassification`] is supported by this [example script](https://github.com/huggingface/transformers-research-projects/tree/main/layoutlmv3) and [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb).
- A [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/Inference_with_LayoutLMv2ForTokenClassification.ipynb) for how to perform inference with [`LayoutLMv2ForTokenClassification`] and a [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/True_inference_with_LayoutLMv2ForTokenClassification_%2B_Gradio_demo.ipynb) for how to perform inference when no labels are available with [`LayoutLMv2ForTokenClassification`].
- A [notebook](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/Fine_tuning_LayoutLMv2ForTokenClassification_on_FUNSD_using_HuggingFace_Trainer.ipynb) for how to finetune [`LayoutLMv2ForTokenClassification`] with the 🤗 Trainer.
- [Token classification task guide](../tasks/token_classification)