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NetherlandsForensicInstitute
/
ARM64BERT-embedding

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
6

Instructions to use NetherlandsForensicInstitute/ARM64BERT-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use NetherlandsForensicInstitute/ARM64BERT-embedding with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NetherlandsForensicInstitute/ARM64BERT-embedding")
    
    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
ARM64BERT-embedding
360 MB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 20 commits
drxzcl
Remove sentence-transformers from the embedding model
9055632 2 days ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.92 kB
    Resave model without delay tie reload requirement (#5) 12 days ago
  • config.json
    751 Bytes
    Resave model without delay tie reload requirement (#5) 12 days ago
  • model.safetensors
    351 MB
    xet
    Resave model without delay tie reload requirement (#5) 12 days ago
  • tokenizer.json
    67.2 kB
    Resave model without delay tie reload requirement (#5) 12 days ago
  • tokenizer_config.json
    447 Bytes
    Resave model without delay tie reload requirement (#5) 12 days ago
  • train_loss.log
    8.9 MB
    Add model almost 2 years ago
  • training_logging.log
    7.04 kB
    Add model almost 2 years ago