Instructions to use ArthurZ/JEV-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/JEV-9B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/JEV-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 361 Bytes
2cfe8a7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"architectures": [
"JevDecisionHead"
],
"dtype": "float32",
"hidden_size": 4096,
"initializer_range": 0.02,
"model_type": "jev",
"num_verbalizers": 24,
"offsets": {
"choice": 8,
"noul": 0,
"score": 2
},
"softcap": null,
"transformers_version": "5.19.0.dev0",
"transformers_weights": "decision_head/model.safetensors"
}
|