Instructions to use ArthurZ/clef-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/clef-flash with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/clef-flash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
7 days ago
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Decision files next to the model: decision.json, decision_head.json
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22 days ago
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decision_head: the original joint_head.safetensors, loaded through the conversion mapping
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Decision config without adapter; calibration and noul band are decision settings
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ClefDecisionHead as a modular model (MBart decoder layers)
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Decision config, template and head
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initial commit
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