Text Classification
MLX
Safetensors
Laya
English
multilingual
mlx-embeddings
modernbert
classification
routing
moderation
Instructions to use cavi-ai/laya-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cavi-ai/laya-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download cavi-ai/laya-MLX-8bit --local-dir laya-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from cavi-ai/laya-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/cavi-ai/laya-MLX-8bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://cavi-ai/laya-MLX-8bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cavi-ai/laya-MLX-8bit/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.