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
Download decision_head/config.json from ArthurZ/JEV-9B: direct link, hf CLI and curl.
- Browser
- Download file 300 Bytes
-
https://huggingface.co/ArthurZ/JEV-9B/resolve/main/decision_head/config.json
- Command line
-
hf download hf://ArthurZ/JEV-9B/decision_head/config.json
-
curl -L -o config.json https://huggingface.co/ArthurZ/JEV-9B/resolve/main/decision_head/config.json
300 Bytes
| { | |
| "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" | |
| } | |