docs: create model card

README.md

@@ -1,3 +1,16 @@
----
-license: apache-2.0
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+---
+license: apache-2.0
+library_name: mlx
+tags:
+- image-classification
+- vision
+datasets:
+- imagenet
+- imagenet-1k
+---
+
+# Data2Vec-Vision (large-sized model, fine-tuned on ImageNet-1k)
+
+![model image](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/data2vec.png)
+
+BEiT model pre-trained in a self-supervised fashion and fine-tuned on ImageNet-1k (1,2 million images, 1000 classes) at resolution 224x224. It was introduced in the paper [data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language](https://arxiv.org/abs/2202.03555) by Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli and first released in [this repository](https://github.com/facebookresearch/data2vec_vision/tree/main/beit).