Update README.md

README.md

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   <h1 align="center">M-BERT Distil 40</h1>
   
   <p align="center">  
-    <a href="https://huggingface.co/M-CLIP/M-BERT-Distil-40">Huggingface Model</a>
-    ·
-    <a href="https://huggingface.co/distilbert-base-multilingual-cased">Huggingface Base Model</a>
+    <a href="https://huggingface.co/M-CLIP/M-BERT-Distil-40">Github Model Card</a>
   </p>
 </p>
 
+## Usage
+To use this model along with the original CLIP vision encoder you need to download the code and additional linear weights from the [Multilingual-CLIP Github](https://github.com/FreddeFrallan/Multilingual-CLIP).
+
+Once this is done, you can load and use the model with the following code
+```python
+from src import multilingual_clip
+
+model = multilingual_clip.load_model('M-BERT-Distil-40')
+embeddings = model(['Älgen är skogens konung!', 'Wie leben Eisbären in der Antarktis?', 'Вы знали, что все белые медведи левши?'])
+print(embeddings.shape)
+# Yields: torch.Size([3, 640])
+```
 
 <!-- ABOUT THE PROJECT -->
 ## About