Text Classification
MLX
Safetensors
English
prism_hadamard_qwen35
system-one
decision
calibrated-probabilities
jev
bonsai
ternary
apple-silicon
lora
vision
on-device
Instructions to use dakebakery/Bonsai-JEV-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dakebakery/Bonsai-JEV-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dakebakery/Bonsai-JEV-mlx --local-dir Bonsai-JEV-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download head.json from dakebakery/Bonsai-JEV-mlx: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
-
https://huggingface.co/dakebakery/Bonsai-JEV-mlx/resolve/main/head.json
- Command line
-
hf download hf://dakebakery/Bonsai-JEV-mlx/head.json
-
curl -L -o head.json https://huggingface.co/dakebakery/Bonsai-JEV-mlx/resolve/main/head.json
198 Bytes
| {"verbalizer_ids": [3721, 1802, 15, 16, 17, 18, 19, 20, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "ranges": {"noul": [0, 2], "score": [2, 8], "choice": [8, 24]}, "step": 4000} |