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@@ -16,6 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ESM1b_AAV2_classification
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  This model is a fine-tuned version of [facebook/esm-1b](https://huggingface.co/facebook/esm-1b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2250
 
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  # ESM1b_AAV2_classification
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+ To load tokenizer from ESM, you need to install transformers with this version as follow:
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+ !git clone -b add_esm-proper --single-branch https://github.com/liujas000/transformers.git
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+ !pip -q install ./transformers
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  This model is a fine-tuned version of [facebook/esm-1b](https://huggingface.co/facebook/esm-1b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2250