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knowledgeable-ai
/
kpr-bert-base-uncased

Text Retrieval
Transformers
Safetensors
sentence-transformers
English
kpr-bert
feature-extraction
custom_code
Model card Files Files and versions
xet
Community

Instructions to use knowledgeable-ai/kpr-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use knowledgeable-ai/kpr-bert-base-uncased with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("knowledgeable-ai/kpr-bert-base-uncased", trust_remote_code=True, dtype="auto")
  • sentence-transformers

    How to use knowledgeable-ai/kpr-bert-base-uncased with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("knowledgeable-ai/kpr-bert-base-uncased", 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]
  • Notebooks
  • Google Colab
  • Kaggle
kpr-bert-base-uncased / entity_linker
487 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ikuyamada's picture
ikuyamada
Upload tokenizer
bcd1e12 verified 9 months ago
  • config.json
    119 Bytes
    Upload tokenizer 9 months ago
  • data.npy
    306 MB
    xet
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  • kb_id.trie
    13.2 MB
    xet
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  • name.trie
    96.9 MB
    xet
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  • offsets.npy
    70.6 MB
    xet
    Upload tokenizer 9 months ago