Instructions to use thanhduc1180/qwen2.5-7b-finviqa-grpo-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhduc1180/qwen2.5-7b-finviqa-grpo-full with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thanhduc1180/qwen2.5-7b-finviqa-grpo-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- aa4f9e97f5e6c091279188c006ab5016d173bfbe7d759dc587e920034b6ef5aa
- Size of remote file:
- 162 MB
- SHA256:
- 5cf139895f996248f0a6f6103393a5a1fbf49c170c66de863a726099fe67804b
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