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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
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  • 5 contributors
History: 18 commits
Judithvdw's picture
Judithvdw
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#3)
d6ccf7f verified 8 months ago
  • 1_Pooling
    Add model almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.34 kB
    Squash typo 11 months ago
  • added_tokens.json
    96 Bytes
    Add model almost 2 years ago
  • config.json
    705 Bytes
    Add model almost 2 years ago
  • config_sentence_transformers.json
    129 Bytes
    Add model almost 2 years ago
  • model.safetensors
    351 MB
    xet
    Adding `safetensors` variant of this model (#3) 8 months ago
  • modules.json
    242 Bytes
    Add model almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    351 MB
    xet
    Add model almost 2 years ago
  • sentence_bert_config.json
    56 Bytes
    Add model almost 2 years ago
  • special_tokens_map.json
    732 Bytes
    Add model almost 2 years ago
  • tokenizer_config.json
    1.34 kB
    Add model almost 2 years 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
  • vocab.txt
    27.1 kB
    Add model almost 2 years ago