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weathon
/
qwen_2_5_vision_reward_long

Transformers
Safetensors
Generated from Trainer
sft
trl
vision_reward
Model card Files Files and versions
xet
Community

Instructions to use weathon/qwen_2_5_vision_reward_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use weathon/qwen_2_5_vision_reward_long with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("weathon/qwen_2_5_vision_reward_long", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.57 kB
    Training in progress, step 300 8 months ago
  • README.md
    2.46 kB
    Update README.md 8 months ago
  • adapter_config.json
    902 Bytes
    Training in progress, step 300 8 months ago
  • adapter_model.safetensors
    320 MB
    xet
    Training in progress, step 9900 8 months ago
  • added_tokens.json
    605 Bytes
    Training in progress, step 300 8 months ago
  • chat_template.jinja
    1.02 kB
    Training in progress, step 300 8 months ago
  • merges.txt
    1.67 MB
    Training in progress, step 300 8 months ago
  • preprocessor_config.json
    791 Bytes
    Training in progress, step 300 8 months ago
  • rules.csv
    9.64 kB
    Upload rules.csv 8 months ago
  • special_tokens_map.json
    613 Bytes
    Training in progress, step 300 8 months ago
  • tokenizer.json
    11.4 MB
    xet
    Training in progress, step 300 8 months ago
  • tokenizer_config.json
    4.73 kB
    Training in progress, step 300 8 months ago
  • training_args.bin
    6.16 kB
    xet
    Training in progress, step 300 8 months ago
  • video_preprocessor_config.json
    935 Bytes
    Training in progress, step 300 8 months ago
  • vocab.json
    2.78 MB
    Training in progress, step 300 8 months ago