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@@ -119,6 +119,8 @@ SMaLL-100 is a compact and fast massively multilingual machine translation model
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  The model architecture and config are the same as [M2M-100](https://huggingface.co/facebook/m2m100_418M/tree/main) implementation, but the tokenizer is modified to adjust language codes. So, you should load the tokenizer locally from [tokenization_small100.py](https://huggingface.co/alirezamsh/small100/blob/main/tokenization_small100.py) file for the moment.
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  ```
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  from transformers import M2M100ForConditionalGeneration
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  from tokenization_small100 import SMALL100Tokenizer
 
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  The model architecture and config are the same as [M2M-100](https://huggingface.co/facebook/m2m100_418M/tree/main) implementation, but the tokenizer is modified to adjust language codes. So, you should load the tokenizer locally from [tokenization_small100.py](https://huggingface.co/alirezamsh/small100/blob/main/tokenization_small100.py) file for the moment.
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+ **Note**: SMALL100Tokenizer requires sentencepiece, so make sure to install it by ```pip install sentencepiece```
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  ```
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  from transformers import M2M100ForConditionalGeneration
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  from tokenization_small100 import SMALL100Tokenizer