Instructions to use nayeshdaggula/dinodev-m4-qwen3-coder-30b-code-sft-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nayeshdaggula/dinodev-m4-qwen3-coder-30b-code-sft-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nayeshdaggula/dinodev-m4-qwen3-coder-30b-code-sft-adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85c9e167b4f70d534fb969f1ed19334bca414f61d20cdd235be91817b3fb469a
- Size of remote file:
- 27.6 MB
- SHA256:
- fc7cb17624d13d95b4aaafe827c2654622f285f97ed0a3672d887aa01e70dfda
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