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segestic
/
pruned_phi3_seg_all_med_structured_maxabs

Feature Extraction
Transformers
Safetensors
phi3
custom_code
Model card Files Files and versions
xet
Community

Instructions to use segestic/pruned_phi3_seg_all_med_structured_maxabs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use segestic/pruned_phi3_seg_all_med_structured_maxabs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="segestic/pruned_phi3_seg_all_med_structured_maxabs", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("segestic/pruned_phi3_seg_all_med_structured_maxabs", trust_remote_code=True)
    model = AutoModel.from_pretrained("segestic/pruned_phi3_seg_all_med_structured_maxabs", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
pruned_phi3_seg_all_med_structured_maxabs
10.5 GB
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  • 1 contributor
History: 3 commits
segestic's picture
segestic
Upload tokenizer
3296cd6 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
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  • added_tokens.json
    293 Bytes
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  • config.json
    3.5 kB
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  • model-00001-of-00003.safetensors
    4.97 GB
    xet
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  • model-00002-of-00003.safetensors
    4.95 GB
    xet
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  • model-00003-of-00003.safetensors
    595 MB
    xet
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  • model.safetensors.index.json
    15.1 kB
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  • special_tokens_map.json
    569 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    3.37 kB
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