Instructions to use ArthurZ/kev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/kev-4b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/kev-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decision.json from ArthurZ/kev-4b: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/ArthurZ/kev-4b/resolve/main/decision.json
- Command line
-
hf download hf://ArthurZ/kev-4b/decision.json
-
curl -L -o decision.json https://huggingface.co/ArthurZ/kev-4b/resolve/main/decision.json
248 Bytes
| { | |
| "labels": {}, | |
| "temperature": { | |
| "choice": 2.406050072164233, | |
| "noul": 2.406050072164233, | |
| "score": 2.406050072164233 | |
| }, | |
| "noul_options": [ | |
| "false", | |
| "true" | |
| ], | |
| "sort_choices": false, | |
| "sanitize_control_tokens": false | |
| } | |