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adambuttrick
/
ror-set-point-retriever-e5-base

Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
ror
affiliations
entity-linking
retrieval
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use adambuttrick/ror-set-point-retriever-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use adambuttrick/ror-set-point-retriever-e5-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("adambuttrick/ror-set-point-retriever-e5-base")
    
    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
ror-set-point-retriever-e5-base / training_data
59.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
adambuttrick's picture
adambuttrick
Release the retriever trained with --strict, with its search and card
6cd255e verified 3 days ago
  • manifest.json
    789 Bytes
    Release the retriever trained with --strict, with its search and card 3 days ago
  • queries.jsonl.gz
    13 MB
    xet
    Release the retriever trained with --strict, with its search and card 3 days ago
  • records.jsonl.gz
    7.12 MB
    xet
    Align file formats, set names and card with the training code 4 days ago
  • train.jsonl.gz
    39.2 MB
    xet
    Release the retriever trained with --strict, with its search and card 3 days ago