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Snowflake
/
e5-base-arctic-finetune

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
arctic
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Snowflake/e5-base-arctic-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Snowflake/e5-base-arctic-finetune with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Snowflake/e5-base-arctic-finetune")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
e5-base-arctic-finetune
220 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Luke Merrick
Add model
286cfcf about 1 year ago
  • 1_Pooling
    Add model about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    4.88 kB
    Add model about 1 year ago
  • biencoder_config.json
    30 Bytes
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  • config.json
    671 Bytes
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  • config_sentence_transformers.json
    238 Bytes
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  • model.safetensors
    219 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    54 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    232 kB
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