Feature Extraction
Transformers
Safetensors
ESMplusplus
fill-mask
protein-language-model
protein-sequence
capsid
ESMCapsid
masked-language-modeling
custom_code
Instructions to use Shuofang127/ESMCapsid-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shuofang127/ESMCapsid-C with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shuofang127/ESMCapsid-C", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Shuofang127/ESMCapsid-C", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
20 days ago
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Publish nine property heads for the ESMCapsid inference toolkit
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Correct ESMCapsid paper citation to bioRxiv DOI
Verified signatureReplace the incorrect arXiv reference with the ESMCapsid preprint citation; preserve all other content.23e2fa0
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Update English model card and base-model provenance
Verified signatureRewrite the ESMCapsid-C model card in English, declare Synthyra/ESMplusplus_large as the base model, and document the released Layer 35 representation workflow.7c9197a
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Update ESMCapsid-C minimal model package
Verified signatureSync the validated minimal ESMCapsid-C package from Submission_Minimal/Others.f9a269c
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Add files using upload-large-folder tool
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initial commit
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