Update README.md

README.md

@@ -72,14 +72,8 @@ import torch
 ['▁J', "'", 'aime', '▁le', '▁ca', 'member', 't', '▁!']
 >>> encoded_sentence
 # [5, 121, 11, 660, 16, 730, 25543, 110, 83, 6] 
-
-encoded_sentence = torch.tensor(encoded_sentence).unsqueeze(0)
-embeddings, _ = camembert(encoded_sentence)
-# embeddings.detach()
-# embeddings.size torch.Size([1, 10, 768])
-# tensor([[[-0.0254,  0.0235,  0.1027,  ..., -0.1459, -0.0205, -0.0116],
-#         [ 0.0606, -0.1811, -0.0418,  ..., -0.1815,  0.0880, -0.0766],
-#         [-0.1561, -0.1127,  0.2687,  ..., -0.0648,  0.0249,  0.0446],
-#         ...,
 ```
+
+![128791.gif](https://s3.amazonaws.com/moonup/production/uploads/1666329291279-634fe2e8cfefce6e57795f69.gif)
+![128791.gif](https://s3.amazonaws.com/moonup/production/uploads/1666329291279-634fe2e8cfefce6e57795f69.gif)
 ![128791.gif](https://s3.amazonaws.com/moonup/production/uploads/1666329291279-634fe2e8cfefce6e57795f69.gif)