Feature Extraction
MLX
Safetensors
English
Chinese
French
qwen3_5
text-embedding
zero-shot-classification
jul
custom_code
4-bit precision
Instructions to use usejul/WeMM-Embedding-4B-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use usejul/WeMM-Embedding-4B-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download usejul/WeMM-Embedding-4B-mlx-4bit --local-dir WeMM-Embedding-4B-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from usejul/WeMM-Embedding-4B-mlx-4bit: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/usejul/WeMM-Embedding-4B-mlx-4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://usejul/WeMM-Embedding-4B-mlx-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/usejul/WeMM-Embedding-4B-mlx-4bit/resolve/main/tokenizer.json
20 MB
- Xet hash:
- de0ebff7c9772a2d3d2dec2e74f192614b356de68fd99836bc00189f082667f3
- Size of remote file:
- 20 MB
- SHA256:
- 40e444c744512f423da4c8443c47c21e22ff76056ba4e9796a81c04c13a9daf0
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