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
- Xet hash:
- 0622703a0077e22cb438d01b2542e8225af799b046f694fb3dd7c2b9afcb9442
- Size of remote file:
- 1.68 GB
- SHA256:
- 4b1c53932df3db6a0551ce31746aaa2f14497e2e6b67848944fca1cb6d392cbd
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