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BarraHome
/
vmware-embeddings-large-v1

Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
information-retrieval
semantic-search
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use BarraHome/vmware-embeddings-large-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use BarraHome/vmware-embeddings-large-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("BarraHome/vmware-embeddings-large-v1")
    
    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
vmware-embeddings-large-v1 / eval
425 Bytes
Ctrl+K
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  • 1 contributor
History: 1 commit
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BarraHome
Upload folder using huggingface_hub
5e55f63 verified 5 months ago
  • Information-Retrieval_evaluation_vmware-dev_results.csv
    425 Bytes
    Upload folder using huggingface_hub 5 months ago