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ESMplusplus_large

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@@ -10,7 +10,7 @@ The large version corresponds to the 600 million parameter version of ESMC.
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  ## Use with 🤗 transformers
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  ```python
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- from transformers import AutoModelForMaskedLM #AutoModel also works
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  model = AutoModelForMaskedLM.from_pretrained('Synthyra/ESMplusplus_large', trust_remote_code=True)
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  tokenizer = model.tokenizer
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  ## Use with 🤗 transformers
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  ```python
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+ from transformers import AutoModelForMaskedLM
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  model = AutoModelForMaskedLM.from_pretrained('Synthyra/ESMplusplus_large', trust_remote_code=True)
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  tokenizer = model.tokenizer
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