Instructions to use Sumukh66/toolcall-qwen2.5-coder-7b-DPO-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sumukh66/toolcall-qwen2.5-coder-7b-DPO-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sumukh66/toolcall-qwen2.5-coder-7b-DPO-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 213b1554fd7eefa3de9dab90bf5e37f1302a5aae305e5aff37d59d161da255ad
- Size of remote file:
- 11.4 MB
- SHA256:
- ea43b288542655d72d632195ab9b58ca2cd9532c292bf6667827ce899ad196bc
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