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dicta-il
/
dictabert-tiny-parse

Feature Extraction
Transformers
Safetensors
Hebrew
bert
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dicta-il/dictabert-tiny-parse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dicta-il/dictabert-tiny-parse with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dicta-il/dictabert-tiny-parse", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("dicta-il/dictabert-tiny-parse", trust_remote_code=True)
    model = AutoModel.from_pretrained("dicta-il/dictabert-tiny-parse", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
dictabert-tiny-parse
186 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
Shaltiel's picture
Shaltiel
Linked python files to main dictabert-joint
8e97fcd about 2 years ago
  • .gitattributes
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  • README.md
    15.9 kB
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  • config.json
    1.86 kB
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  • model.safetensors
    181 MB
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    1.35 kB
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  • vocab.txt
    1.5 MB
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