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
ClefDecisionHead as a modular model (MBart decoder layers)
Browse files
decision_head/config.json
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{
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"architectures": [
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"ClefDecisionHead"
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],
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"dtype": "bfloat16",
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"feedforward": 4096,
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"heads": 16,
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{
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"activation_function": "gelu",
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"architectures": [
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"ClefDecisionHead"
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],
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"dropout": 0.0,
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"dtype": "bfloat16",
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"feedforward": 4096,
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"heads": 16,
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decision_head/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cf05646a19cebdeb4115922eaf2aaa66dc1abff0622eb9d239f59c197ff5150
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size 243542584
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