Feature Extraction
Transformers
Safetensors
ESMplusplus
text-classification
protein-language-model
protein-sequence
capsid
ESMCapsid
custom_code
Instructions to use Shuofang127/ESMCapsid-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shuofang127/ESMCapsid-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shuofang127/ESMCapsid-S", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Shuofang127/ESMCapsid-S", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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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.e810789
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Update English model card and base-model provenance
Verified signatureRewrite the ESMCapsid-S and auxiliary-head model cards in English, declare Synthyra/ESMplusplus_large as the base model, and document the released Layer 16 workflow.a0f20ec
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Normalize auxiliary classifier path
Verified signatureRename heads/two_stage_layer16_hardneg_20260407/ to heads/two_stage_layer16_hardneg/ and update all repository-local references.5174a13 -
Add Layer16 two-stage classifier as auxiliary asset
Verified signatureAdd the validated normal and hard-negative Layer16 classifier package under heads/two_stage_layer16_hardneg_20260407/ and document its binding to the root ESMCapsid-S encoder.84b5ef4 -
Update ESMCapsid-S minimal model package
Verified signatureSync the validated minimal ESMCapsid-S package from Submission_Minimal/Others.83ce9fc
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Add files using upload-large-folder tool
Verified signature390dc21 -
initial commit
Verified signaturef32e243