transformers
Uses Hugging Face Transformers to load Hub models, run pipelines, generate text and fine-tune with Trainer on NLP, vision, audio and multimodal tasks. Gated models need an HF token.
- Kind
- Skill
- Works with
- Claude Code, Codex, Cursor, Gemini / Antigravity
- Source
- Scientific Agent Skills (K-Dense) @ 5f2bc0341354
- Path
- skills/transformers/SKILL.md
- Jobs
- Implementation
- Topics
- Machine learning
Credit
- Made by
- K-Dense-AI
- Original
- github.com/K-Dense-AI/scientific-agent-skills/blob/5f2bc03413…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
gh skill install K-Dense-AI/scientific-agent-skills transformers
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/transformers/ (the skill folder)
- 6 file(s) the skill refers to
- Runs scripts
- Yes
- allowed-tools includes Bash
- shell block in the text
- Uses the network
- Yes
- downloads Python packages
- Needs secrets
- Yes
- HF_TOKEN
- HF_HUB_DISABLE_IMPLICIT_TOKEN
- Reads environment variables
- HF_TOKEN_PATH
- HF_HOME
- HF_TOKEN
- HF_HUB_DISABLE_IMPLICIT_TOKEN
- Source revision
- 5f2bc0341354
- Licence
- MIT
- Last activity
- 26 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# Transformers ## Overview 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. ## Installation Targets **Transformers 5.18.0**, verified against its released source on 2026-10-01. Native CPU checks use Python 3.11, Torch 2.14.1, Datasets 5.0.1, Accelerate 1.15.0, PEFT 0.21.2, and Hub 1.33.0. The Torch extra requires Torch >=2.5. Install in a dedicated environment: ```bash uv venv --python 3.11 .venv-transformers uv pip install --python .venv-transformers/bin/python "transformers[torch]==5.18.0" "torch==2.14.1" "huggingface-hub==1.33.0" "datasets==5.0.1" "accelerate==1.15.0" "peft==0.21.2" ``` Use `.venv-transformers/Scripts/python.exe` on Windows. Select an appropriate Torch build for the target hardware before installation. Hub 2.1.1 is newer, but Datasets 5.0.1 requires Hub <2; upgrading every package independently makes this training stack unsatisfiable. The separate `esm` SDK currently requires Transformers <5 and belongs in another environment. …