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@@ -18,9 +18,11 @@ To force the target language id as the first generated token, pass the `forced_b
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  *Note: `M2M100Tokenizer` depends on `sentencepiece`, so make sure to install it before running the example.*
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  To install `sentencepiece` run `pip install sentencepiece`
 
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  Note: Since the model was trained with domain tags, you should append them to the input as well.
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- "wmtdata newsdomain": Use for sentences in the news domain
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- "wmtdata otherdomain": Use for sentences in all other domain
 
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  ```python
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  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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  *Note: `M2M100Tokenizer` depends on `sentencepiece`, so make sure to install it before running the example.*
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  To install `sentencepiece` run `pip install sentencepiece`
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+
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  Note: Since the model was trained with domain tags, you should append them to the input as well.
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+ * "wmtdata newsdomain": Use for sentences in the news domain
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+ * "wmtdata otherdomain": Use for sentences in all other domain
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+
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  ```python
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  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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