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JayHyeon
/
Qwen2-0.5B-Reward_VPO_5e-4

Text Classification
Transformers
TensorBoard
Safetensors
qwen2
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use JayHyeon/Qwen2-0.5B-Reward_VPO_5e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JayHyeon/Qwen2-0.5B-Reward_VPO_5e-4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JayHyeon/Qwen2-0.5B-Reward_VPO_5e-4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JayHyeon/Qwen2-0.5B-Reward_VPO_5e-4")
    model = AutoModelForSequenceClassification.from_pretrained("JayHyeon/Qwen2-0.5B-Reward_VPO_5e-4")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2-0.5B-Reward_VPO_5e-4
1.99 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
JayHyeon's picture
JayHyeon
End of training
85ab3e4 verified over 1 year ago
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  • .gitattributes
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  • README.md
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  • added_tokens.json
    80 Bytes
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  • all_results.json
    189 Bytes
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  • config.json
    847 Bytes
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  • eval_results.json
    189 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    1.98 GB
    xet
    Training in progress, step 1938 over 1 year ago
  • special_tokens_map.json
    367 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    1.3 kB
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  • training_args.bin
    5.37 kB
    xet
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  • vocab.json
    2.78 MB
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