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lingxling/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

transformers

Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks. Applies when working with AutoModel, pipelines, tokenizers, generation configs, or TrainingArguments within Transformers.

Version
1.5
License
Apache-2.0 license
Compatibility
Requires Python 3.10+, PyTorch 2.5+, and transformers 5.18.0; optional librosa 1.0 requires Python 3.12+. Network access for Hub downloads. Gated or private Hub models need an HF token (`hf auth login` or `HF_TOKEN`).
Read SKILL.md at the source

Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

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