Instructions to use AI4Protein/deep_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_base") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add model card for VenusFactory Protein Language Model (#2)
Verified signature- Add model card for VenusFactory Protein Language Model (c104fc49f417e8c85a1a965787309751512de1da) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>955934c
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Upload RoFormerForMaskedLM
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Upload tokenizer
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Upload config
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initial commit
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