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Add batch of resources (#20647)

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Co-authored-by: Maria Khalusova <kafooster@gmail.com>

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Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Maria Khalusova <kafooster@gmail.com>
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NielsRogge
2023-01-17 17:18:56 +01:00
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@@ -37,9 +37,6 @@ Tips:
- For Data2VecAudio, preprocessing is identical to [`Wav2Vec2Model`], including feature extraction
- For Data2VecText, preprocessing is identical to [`RobertaModel`], including tokenization.
- For Data2VecVision, preprocessing is identical to [`BeitModel`], including feature extraction.
- To know how a pre-trained Data2Vec vision model can be fine-tuned on the task of image classification, you can check out
[this notebook](https://colab.research.google.com/github/sayakpaul/TF-2.0-Hacks/blob/master/data2vec_vision_image_classification.ipynb).
This model was contributed by [edugp](https://huggingface.co/edugp) and [patrickvonplaten](https://huggingface.co/patrickvonplaten).
[sayakpaul](https://github.com/sayakpaul) and [Rocketknight1](https://github.com/Rocketknight1) contributed Data2Vec for vision in TensorFlow.
@@ -48,6 +45,17 @@ The original code (for NLP and Speech) can be found [here](https://github.com/py
The original code for vision can be found [here](https://github.com/facebookresearch/data2vec_vision/tree/main/beit).
## Resources
A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with Data2Vec.
<PipelineTag pipeline="image-classification"/>
- [`Data2VecVisionForImageClassification`] is supported by this [example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb).
- To fine-tune [`TFData2VecVisionForImageClassification`] on a custom dataset, see [this notebook](https://colab.research.google.com/github/sayakpaul/TF-2.0-Hacks/blob/master/data2vec_vision_image_classification.ipynb).
If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource.
## Data2VecTextConfig
[[autodoc]] Data2VecTextConfig