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Skywork
/
Skywork-Reward-V2-Qwen3-4B

Text Classification
Transformers
Safetensors
qwen3
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use Skywork/Skywork-Reward-V2-Qwen3-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Skywork/Skywork-Reward-V2-Qwen3-4B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Skywork/Skywork-Reward-V2-Qwen3-4B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Skywork/Skywork-Reward-V2-Qwen3-4B")
    model = AutoModelForSequenceClassification.from_pretrained("Skywork/Skywork-Reward-V2-Qwen3-4B")
  • Notebooks
  • Google Colab
  • Kaggle
Skywork-Reward-V2-Qwen3-4B
8.06 GB
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  • 2 contributors
History: 22 commits
chrisliu298's picture
chrisliu298
Update README.md
fd958fe verified 11 months ago
  • assets
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • chat_template.jinja
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  • config.json
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  • merges.txt
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  • model-00001-of-00002.safetensors
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  • model-00002-of-00002.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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