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>

docs/source/en/model_doc/data2vec.mdx

@@ -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
\ No newline at end of file
+    - call