Sentence Similarity
MLX
Safetensors
multilingual
English
Chinese
xlm-roberta
mlx-embeddings
omlx
apple-silicon
m1
bge-m3
embeddings
feature-extraction
retrieval
rag
8-bit precision
Instructions to use YCF-AI/bge-m3-8bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use YCF-AI/bge-m3-8bit-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download YCF-AI/bge-m3-8bit-MLX --local-dir bge-m3-8bit-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download 1_Pooling/config.json from YCF-AI/bge-m3-8bit-MLX: direct link, hf CLI and curl.
- Browser
- Download file 191 Bytes
-
https://huggingface.co/YCF-AI/bge-m3-8bit-MLX/resolve/main/1_Pooling/config.json
- Command line
-
hf download hf://YCF-AI/bge-m3-8bit-MLX/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/YCF-AI/bge-m3-8bit-MLX/resolve/main/1_Pooling/config.json
191 Bytes
| { | |
| "word_embedding_dimension": 1024, | |
| "pooling_mode_cls_token": true, | |
| "pooling_mode_mean_tokens": false, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false | |
| } |