Instructions to use hvbhanot/qwen3-coder-30b-a3b-slim-lora-strict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hvbhanot/qwen3-coder-30b-a3b-slim-lora-strict with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hvbhanot/qwen3-coder-30b-a3b-slim-lora-strict", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- d915ba0754db2c464b6d39e027d1ffef474d1e9510dd0f07cb09638175bc0252
- Size of remote file:
- 7.96 GB
- SHA256:
- 1aeadc6fbc313ec70a171ffe6ccbfb2b28f7126cfe2bbc7647b1cf9c0e555e25
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