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Snowflake
/
snowflake-arctic-embed-m-v2.0

Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
gte
feature-extraction
mteb
arctic
snowflake-arctic-embed
custom_code
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
16

Instructions to use Snowflake/snowflake-arctic-embed-m-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Snowflake/snowflake-arctic-embed-m-v2.0 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Snowflake/snowflake-arctic-embed-m-v2.0", 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]
  • Transformers.js

    How to use Snowflake/snowflake-arctic-embed-m-v2.0 with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('sentence-similarity', 'Snowflake/snowflake-arctic-embed-m-v2.0');
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add evaluation results for model Snowflake/snowflake-arctic-embed-m-v2.0 revision f2a7d59d80dfda5b1d14f096f3ce88bb6bf9ebdc

#16 opened 3 months ago by
Samoed

Toggle "use_memory_efficient_attention" off for CPU/MPS/Default GPU usage

#15 opened 6 months ago by
OSalem99

Onnx models are built using an older opset.

👍 1
#11 opened about 1 year ago by
mistborn

fix TEI support

#9 opened over 1 year ago by
GarciaLnk
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