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  # ESM-2 (`esm2_t6_8M_UR50D`)
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- This is a fine-tuned version of ESM-2 for sequence classification that categorizes protein sequences into
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- two classes, either "cystolic" or "membrane".
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  To use try running:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
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  # ESM-2 (`esm2_t6_8M_UR50D`)
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+ This is a fine-tuned version of [ESM-2](https://huggingface.co/facebook/esm2_t6_8M_UR50D) for sequence classification
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+ that categorizes protein sequences into two classes, either "cystolic" or "membrane".
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+ ## Training and Accuracy
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+
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+ The model is trained using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/protein_language_modeling.ipynb)
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+ and achieved an eval accuracy of 94.83163664839468 %.
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+
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+ ## Using the Model
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  To use try running:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification