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kzhou35
/
guard_sft_3b

Feature Extraction
Transformers
Safetensors
qwen2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use kzhou35/guard_sft_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kzhou35/guard_sft_3b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="kzhou35/guard_sft_3b")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("kzhou35/guard_sft_3b")
    model = AutoModel.from_pretrained("kzhou35/guard_sft_3b")
  • Notebooks
  • Google Colab
  • Kaggle
guard_sft_3b
12.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kzhou35's picture
kzhou35
Upload tokenizer
3bce2eb verified about 1 year ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
    750 Bytes
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  • merges.txt
    1.67 MB
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  • model-00001-of-00003.safetensors
    4.98 GB
    xet
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  • model-00002-of-00003.safetensors
    4.93 GB
    xet
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  • model-00003-of-00003.safetensors
    2.43 GB
    xet
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  • model.safetensors.index.json
    33 kB
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  • special_tokens_map.json
    616 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    7.29 kB
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  • vocab.json
    2.78 MB
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