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:
- 73356a062b51854e22d780b4d6558bc18c8e0c19ef158d25adb6b1755391a0eb
- Size of remote file:
- 5.65 kB
- SHA256:
- 9f5dee1fc354dc54b30c7b094dc007694d42dcafed0da88837a3b49380aa1657
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