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ewin-reg
/
WeMM-Embedding-2B-Apple-Silicon-MLX

Feature Extraction
MLX
Safetensors
qwen3_5
apple-silicon
embeddings
multimodal-embedding
text-embedding
image-embedding
video-embedding
mrl
quantized
mixed-precision
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use ewin-reg/WeMM-Embedding-2B-Apple-Silicon-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use ewin-reg/WeMM-Embedding-2B-Apple-Silicon-MLX with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download ewin-reg/WeMM-Embedding-2B-Apple-Silicon-MLX --local-dir WeMM-Embedding-2B-Apple-Silicon-MLX
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
WeMM-Embedding-2B-Apple-Silicon-MLX
1.97 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
ewin-reg's picture
ewin-reg
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  • .gitattributes
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  • README.md
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  • chat_template.jinja
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  • config.json
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  • config_sentence_transformers.json
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  • dequant_report.json
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  • model.safetensors
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  • model.safetensors.index.json
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  • modeling_st_wemm.py
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  • modules.json
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  • processor_config.json
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  • sentence_bert_config.json
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  • tokenizer.json
    20 MB
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  • tokenizer_config.json
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