docs: add usage instructions

README.md

@@ -13,4 +13,14 @@ datasets:
 
 ![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). 
+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).
+
+## Usage
+
+```python
+from mlx_ssl.models import Data2VecVisionForImageClassification
+
+model = Data2VecVisionForImageClassification.from_pretrained(
+    "mlx-community/data2vec-vision-large-ft1k"
+)
+```