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decem
/
chai-deberta-v3-base-reward-model

Text Classification
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use decem/chai-deberta-v3-base-reward-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use decem/chai-deberta-v3-base-reward-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="decem/chai-deberta-v3-base-reward-model", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("decem/chai-deberta-v3-base-reward-model")
    model = AutoModelForSequenceClassification.from_pretrained("decem/chai-deberta-v3-base-reward-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
chai-deberta-v3-base-reward-model
749 MB
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  • 1 contributor
History: 2 commits
decem's picture
decem
update models
17765bc over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • added_tokens.json
    23 Bytes
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  • config.json
    1.09 kB
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  • model.safetensors
    738 MB
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  • rng_state.pth

    Detected Pickle imports (7)

    • "numpy.core.multiarray._reconstruct",
    • "torch._utils._rebuild_tensor_v2",
    • "numpy.ndarray",
    • "_codecs.encode",
    • "collections.OrderedDict",
    • "torch.ByteStorage",
    • "numpy.dtype"

    How to fix it?

    14.3 kB
    xet
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  • special_tokens_map.json
    286 Bytes
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  • spm.model
    2.46 MB
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  • tokenizer.json
    8.66 MB
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  • tokenizer_config.json
    1.28 kB
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