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zarif98sjs
/
Critic-Embed

Text Retrieval
sentence-transformers
Safetensors
English
new
embeddings
agent
search
retriever
instruction-tuned retriever
agentic-search
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use zarif98sjs/Critic-Embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use zarif98sjs/Critic-Embed with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("zarif98sjs/Critic-Embed", 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
Critic-Embed
1.74 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
zarif98sjs's picture
zarif98sjs
nielsr's picture
nielsr HF Staff
Update model card: add pipeline tag, library name, and code link (#1)
98ceb5a about 6 hours ago
  • .gitattributes
    1.52 kB
    initial commit 14 days ago
  • README.md
    2.57 kB
    Update model card: add pipeline tag, library name, and code link (#1) about 6 hours ago
  • config.json
    928 Bytes
    Upload folder using huggingface_hub 7 days ago
  • configuration.py
    7.13 kB
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  • model.safetensors
    1.74 GB
    xet
    Upload folder using huggingface_hub 7 days ago
  • modeling.py
    57.5 kB
    Upload folder using huggingface_hub 7 days ago
  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.41 kB
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  • vocab.txt
    232 kB
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