Text Classification
MLX
Safetensors
modernbert
routing
llm-routing
prompt-classification
multilingual
Instructions to use scombat/s1d1-router-6src-tiny-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use scombat/s1d1-router-6src-tiny-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download scombat/s1d1-router-6src-tiny-mlx-8bit --local-dir s1d1-router-6src-tiny-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from scombat/s1d1-router-6src-tiny-mlx-8bit: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/scombat/s1d1-router-6src-tiny-mlx-8bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://scombat/s1d1-router-6src-tiny-mlx-8bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/scombat/s1d1-router-6src-tiny-mlx-8bit/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 223c74cc1acb8e578017b74339569137d1d7384a7cbb2500da8d26ded3be203d
- Size of remote file:
- 34.4 MB
- SHA256:
- aebee76d0312011b0d73b08a255d4d11d25c83e9639324870c7b916ea102e13e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.