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
File size: 443 Bytes
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"architectures": [
"ClefDecisionHead"
],
"attention_bias": true,
"attention_dropout": 0.0,
"backbone_hidden_size": 4096,
"dtype": "bfloat16",
"hidden_act": "gelu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"model_type": "clef",
"num_attention_heads": 16,
"num_evidence_layers": 2,
"num_hidden_layers": 4,
"num_key_value_heads": 16,
"transformers_version": "5.19.0.dev0"
}
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