Instructions to use debbiesoon/prot_bert_bfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/prot_bert_bfd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="debbiesoon/prot_bert_bfd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("debbiesoon/prot_bert_bfd") model = AutoModelForTokenClassification.from_pretrained("debbiesoon/prot_bert_bfd") - Notebooks
- Google Colab
- Kaggle
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This model works on amino acid sequences that are spaced between characters.
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Example Inputs :
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D E A Q F K E C Y D T C H K E C S D K G N G F T F C E M K C D T D C S V K D V K E K L E N Y K P K N
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This model works on amino acid sequences that are spaced between characters.
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'0': No disorder
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'1': Disordered
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Example Inputs :
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D E A Q F K E C Y D T C H K E C S D K G N G F T F C E M K C D T D C S V K D V K E K L E N Y K P K N
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