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VTXAI
/
VTX-MOD-1

Feature Extraction
sentence-transformers
Safetensors
Model2Vec
static-embeddings
moderation
safety
abuse-detection
lf2
2bit-quantization
cpu-optimized
Model card Files Files and versions
xet
Community

Instructions to use VTXAI/VTX-MOD-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use VTXAI/VTX-MOD-1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("VTXAI/VTX-MOD-1")
    
    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]
  • Model2Vec

    How to use VTXAI/VTX-MOD-1 with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("VTXAI/VTX-MOD-1")
  • Notebooks
  • Google Colab
  • Kaggle
VTX-MOD-1
165 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Abhaykoul's picture
Abhaykoul
Upload README.md with huggingface_hub
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_lf2.json
    313 Bytes
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  • inference.py
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  • model.safetensors
    131 MB
    xet
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  • model_lf2.safetensors
    20.5 MB
    xet
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  • modules.json
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  • tokenizer.json
    13.6 MB
    xet
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