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electroglyph
/
arctic-embed-l-tech_and_fiction

Sentence Similarity
sentence-transformers
Safetensors
Transformers.js
bert
feature-extraction
mteb
arctic
snowflake-arctic-embed
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use electroglyph/arctic-embed-l-tech_and_fiction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use electroglyph/arctic-embed-l-tech_and_fiction with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("electroglyph/arctic-embed-l-tech_and_fiction")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers.js

    How to use electroglyph/arctic-embed-l-tech_and_fiction with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('sentence-similarity', 'electroglyph/arctic-embed-l-tech_and_fiction');
  • Notebooks
  • Google Colab
  • Kaggle
arctic-embed-l-tech_and_fiction
1.34 GB
Ctrl+K
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  • 1 contributor
History: 13 commits
electroglyph's picture
electroglyph
Update README.md
d35e872 verified 4 months ago
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  • .gitattributes
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  • README.md
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  • benchmark.png
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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