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datalyes
/
patembed-base_long_4096

Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
feature-extraction
patent
embeddings
mteb
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use datalyes/patembed-base_long_4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use datalyes/patembed-base_long_4096 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("datalyes/patembed-base_long_4096")
    
    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
patembed-base_long_4096
600 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
datalyes's picture
datalyes
Delete model_info.json
8768dd3 verified 6 months ago
  • 1_Pooling
    Upload PatentTEB model: patembed-base_long_4096 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.21 kB
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  • config.json
    1.21 kB
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  • config_sentence_transformers.json
    2.37 kB
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  • model.safetensors
    596 MB
    xet
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  • modules.json
    229 Bytes
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  • sentence_bert_config.json
    58 Bytes
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  • special_tokens_map.json
    694 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    20.9 kB
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