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.json from ArthurZ/JEV-9B: direct link, hf CLI and curl.
- Browser
- Download file 258 Bytes
-
https://huggingface.co/ArthurZ/JEV-9B/resolve/main/decision.json
- Command line
-
hf download hf://ArthurZ/JEV-9B/decision.json
-
curl -L -o decision.json https://huggingface.co/ArthurZ/JEV-9B/resolve/main/decision.json
258 Bytes
| { | |
| "labels": {}, | |
| "temperature": { | |
| "noul": 1.0022178236691426, | |
| "choice": 0.9840233476014968, | |
| "score": 1.012184473350984 | |
| }, | |
| "calibration": null, | |
| "noul_band": null, | |
| "noul_options": [ | |
| "false", | |
| "true" | |
| ], | |
| "sort_choices": false | |
| } | |