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Update data2vec.mdx to include a Colab Notebook link (that shows fine-tuning) (#17194) 

* Update data2vec.mdx

* Update data2vec.mdx

* Update docs/source/en/model_doc/data2vec.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Sayak Paul 2022-05-12 19:52:00 +05:30 committed by GitHub
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@ -37,6 +37,9 @@ 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) contributed Data2Vec for vision in TensorFlow.
@ -141,4 +144,4 @@ The original code for vision can be found [here](https://github.com/facebookrese
## TFData2VecVisionForImageClassification
[[autodoc]] TFData2VecVisionForImageClassification
- call
- call