bio-immunoinformatics-tcr-epitope-binding
Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate…
Maintainer K-Dense Inc. · Last updated April 1, 2026
The Hugging Face Transformers library provides access to thousands of pre-trained models for tasks across NLP, computer vision, audio, and multimodal domains. Use this skill to load models, perform inference, and fine-tune on custom data.
Original source
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/transformers
Skill Snapshot
Source Doc
Install transformers and core dependencies:
For vision tasks, add:
For audio tasks, add:
Many models on the Hugging Face Hub require authentication. Set up access:
Or set environment variable:
Get tokens at: https://huggingface.co/settings/tokens
Use the Pipeline API for fast inference without manual configuration:
from transformers import pipeline
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