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@@ -17,11 +17,10 @@ The model architecture and config are the same as [M2M-100](https://huggingface.
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  SMaLL-100 is a seq-to-seq model for the translation task. The input to the model is ```source:[tgt_lang_code] + src_tokens + [EOS]``` and ```target: tgt_tokens + [EOS]```.
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- # `small-100-th` is the fine tuned model from SMALL-100
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- # small-100-th inference
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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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  SMaLL-100 is a seq-to-seq model for the translation task. The input to the model is ```source:[tgt_lang_code] + src_tokens + [EOS]``` and ```target: tgt_tokens + [EOS]```.
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+ # `small-100-th` is the fine-tuned version of SMALL-100 for Thai
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+ The dataset can be acquired from [Vistec](https://github.com/vistec-AI/thai2nmt/releases/tag/scb-mt-en-th-2020%2Bmt-opus_v1.0)
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+ ## small-100-th inference
 
 
 
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  ```
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  from transformers import M2M100ForConditionalGeneration
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  from tokenization_small100 import SMALL100Tokenizer