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 tokenizer-validation.json from dakebakery/Bonsai-JEV-mlx: direct link, hf CLI and curl.
- Browser
- Download file 63 Bytes
-
https://huggingface.co/dakebakery/Bonsai-JEV-mlx/resolve/main/tokenizer-validation.json
- Command line
-
hf download hf://dakebakery/Bonsai-JEV-mlx/tokenizer-validation.json
-
curl -L -o tokenizer-validation.json https://huggingface.co/dakebakery/Bonsai-JEV-mlx/resolve/main/tokenizer-validation.json
63 Bytes
| { | |
| "vocabulary_ids_match": true, | |
| "bpe_merges_match": true | |
| } | |