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
Decision files next to the model: decision.json, decision_head.json
Browse files- decision.json +9 -0
- decision_head.json +20 -0
decision.json
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{
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"labels": {},
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"temperature": {},
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"noul_options": [
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"true",
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"false"
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],
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"sort_choices": true
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}
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decision_head.json
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{
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"architectures": [
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"ClefDecisionHead"
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],
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"attention_bias": true,
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"attention_dropout": 0.0,
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"backbone_hidden_size": 4096,
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"dtype": "bfloat16",
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"hidden_act": "gelu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"model_type": "clef",
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"num_attention_heads": 16,
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"num_evidence_layers": 2,
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"num_hidden_layers": 4,
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"num_key_value_heads": 16,
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"transformers_version": "5.19.0.dev0",
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"transformers_weights": "decision_head/model.safetensors"
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}
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