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JayHyeon
/
Qwen2-0.5B-Reward_VPO_5e-3

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-3 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-3 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-3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JayHyeon/Qwen2-0.5B-Reward_VPO_5e-3")
    model = AutoModelForSequenceClassification.from_pretrained("JayHyeon/Qwen2-0.5B-Reward_VPO_5e-3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2-0.5B-Reward_VPO_5e-3 / runs
28.4 kB
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  • 1 contributor
History: 5 commits
JayHyeon's picture
JayHyeon
Model save
4936c16 verified almost 2 years ago
  • Nov28_23-05-00_4f32fa6ff201
    Model save almost 2 years ago