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halimara
/
model_sentence_bert

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use halimara/model_sentence_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use halimara/model_sentence_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="halimara/model_sentence_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("halimara/model_sentence_bert")
    model = AutoModel.from_pretrained("halimara/model_sentence_bert")
  • Notebooks
  • Google Colab
  • Kaggle
model_sentence_bert
956 MB
Ctrl+K
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  • 2 contributors
History: 14 commits
halimara's picture
halimara
Upload tokenizer_config.json
724f7b9 over 4 years ago
  • 0_Transformer
    Upload 0_Transformer/tokenizer_config.json over 4 years ago
  • 1_Pooling
    hehehe over 4 years ago
  • .gitattributes
    1.22 kB
    Upload unigram.json with git-lfs over 4 years ago
  • README.md
    0 Bytes
    Create README.md over 4 years ago
  • config.json
    692 Bytes
    Upload config.json over 4 years ago
  • modules.json
    242 Bytes
    hehehe over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    471 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • sentence_bert_config.json
    53 Bytes
    Upload sentence_bert_config.json over 4 years ago
  • special_tokens_map.json
    239 Bytes
    Upload special_tokens_map.json over 4 years ago
  • tokenizer_config.json
    527 Bytes
    Upload tokenizer_config.json over 4 years ago
  • unigram.json
    14.8 MB
    xet
    Upload unigram.json with git-lfs over 4 years ago