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:
- 5f6132b1bc4a67390c8890bfa20153454dcf352b465d4040af72e29a2ffa0d7d
- Size of remote file:
- 3.31 kB
- SHA256:
- d2616c0a5b4040d38f36ae5424dadc06d922dd1fcde5f8afddf155a504b009bc
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