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_head.json from ArthurZ/kev-4b: direct link, hf CLI and curl.
- Browser
- Download file 269 Bytes
-
https://huggingface.co/ArthurZ/kev-4b/resolve/main/decision_head.json
- Command line
-
hf download hf://ArthurZ/kev-4b/decision_head.json
-
curl -L -o decision_head.json https://huggingface.co/ArthurZ/kev-4b/resolve/main/decision_head.json
269 Bytes
| { | |
| "architectures": [ | |
| "KevDecisionHead" | |
| ], | |
| "dtype": "float32", | |
| "head_dim": 256, | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "model_type": "kev", | |
| "transformers_version": "5.19.0.dev0", | |
| "transformers_weights": "decision_head/model.safetensors" | |
| } | |