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arg-tech
/
bart_tuned_wikifact_check_ucu

Sentence Similarity
sentence-transformers
Safetensors
bart
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use arg-tech/bart_tuned_wikifact_check_ucu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use arg-tech/bart_tuned_wikifact_check_ucu with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("arg-tech/bart_tuned_wikifact_check_ucu")
    
    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
bart_tuned_wikifact_check_ucu
561 MB
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  • 1 contributor
History: 3 commits
yevhenkost's picture
yevhenkost
Update README.md
f2dba58 verified about 1 year ago
  • 1_Pooling
    Add new SentenceTransformer model about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.39 kB
    Update README.md about 1 year ago
  • config.json
    1.77 kB
    Add new SentenceTransformer model about 1 year ago
  • config_sentence_transformers.json
    199 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    558 MB
    xet
    Add new SentenceTransformer model about 1 year ago
  • modules.json
    229 Bytes
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  • sentence_bert_config.json
    53 Bytes
    Add new SentenceTransformer model about 1 year ago
  • special_tokens_map.json
    958 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.21 kB
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  • vocab.json
    798 kB
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