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Hcompany
/
NeoMME-800M-Retriever-ST-dense

Sentence Similarity
sentence-transformers
Safetensors
multilingual
neomme
multimodal
document-retrieval
dense-retrieval
Model card Files Files and versions
xet
Community

Instructions to use Hcompany/NeoMME-800M-Retriever-ST-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Hcompany/NeoMME-800M-Retriever-ST-dense with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Hcompany/NeoMME-800M-Retriever-ST-dense")
    
    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
NeoMME-800M-Retriever-ST-dense
1.6 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
tonywu71's picture
tonywu71
docs: link NeoMME technical report
c0b3be7 23 days ago
  • 1_Pooling
    feat: upload neomme files about 1 month ago
  • 2_Normalize
    feat: upload neomme files about 1 month ago
  • .gitattributes
    1.52 kB
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  • LICENSE
    11.4 kB
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  • README.md
    5.91 kB
    docs: link NeoMME technical report 23 days ago
  • chat_template.jinja
    3.49 kB
    feat: upload neomme files about 1 month ago
  • config.json
    2.14 kB
    feat: upload neomme files about 1 month ago
  • config_sentence_transformers.json
    224 Bytes
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  • model.safetensors
    1.59 GB
    xet
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  • modules.json
    414 Bytes
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  • processor_config.json
    446 Bytes
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  • sentence_bert_config.json
    465 Bytes
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  • tokenizer.json
    10.2 MB
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  • tokenizer_config.json
    515 Bytes
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