Instructions to use virtual-human-chc/prot_bert_bfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use virtual-human-chc/prot_bert_bfd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="virtual-human-chc/prot_bert_bfd")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("virtual-human-chc/prot_bert_bfd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- protein language model
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datasets:
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- BFD
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# ProtBert-BFD model
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- protein language model
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datasets:
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- BFD
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pipeline_tag: fill-mask
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library_name: transformers
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# ProtBert-BFD model
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