Instructions to use AI4Protein/deep_bpe_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_bpe_400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_400")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_400") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_400", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add model card (#2)
Verified signature- Add model card (4e72218c82d91d380b19fba9bb4131f16948c8b5) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>68f8187
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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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