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hfadam
/
WeMM-Embedding-2B-MLX-4bit

Feature Extraction
MLX
Safetensors
sentence-transformers
Chinese
English
qwen3_5
multimodal-embedding
text-embedding
image-embedding
video-embedding
mrl
custom_code
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use hfadam/WeMM-Embedding-2B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use hfadam/WeMM-Embedding-2B-MLX-4bit with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download hfadam/WeMM-Embedding-2B-MLX-4bit --local-dir WeMM-Embedding-2B-MLX-4bit
  • sentence-transformers

    How to use hfadam/WeMM-Embedding-2B-MLX-4bit with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("hfadam/WeMM-Embedding-2B-MLX-4bit", trust_remote_code=True)
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
WeMM-Embedding-2B-MLX-4bit
2.03 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
hfadam's picture
hfadam
Upload 16 files
5ce6966 verified 2 months ago
  • .gitattributes
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  • README.md
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  • chat_template.jinja
    7.76 kB
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  • config.json
    3.54 kB
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  • config_sentence_transformers.json
    245 Bytes
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  • embedding_chat_template.jinja
    1.09 kB
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  • model.safetensors
    2.01 GB
    xet
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  • model.safetensors.index.json
    81.9 kB
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  • modeling_st_wemm.py
    3.18 kB
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  • modeling_wemm_embedding.py
    1.21 kB
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  • modules.json
    106 Bytes
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  • patch_sglang_video.py
    1.98 kB
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  • processor_config.json
    991 Bytes
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  • sentence_bert_config.json
    950 Bytes
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  • sentence_transformers.jinja
    1.45 kB
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  • tokenizer.json
    20 MB
    xet
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  • tokenizer_config.json
    1.17 kB
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