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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e41e75b51b3d6eae17a1af39a1f1ed8edd943bf216cd23b441e2d57d08f8c5fc
- Size of remote file:
- 27.6 MB
- SHA256:
- d645dba08346ba68cbc9a3d7abb753b61c47274724ad40c0bed03296d1ca458c
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