Instructions to use melvindave/Qwen3-8B-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melvindave/Qwen3-8B-SFT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("melvindave/Qwen3-8B-SFT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d089229fa3344b0162a677a26437d95358cc588ca41c65b7e8499dae8a33c165
- Size of remote file:
- 6.23 kB
- SHA256:
- d22972d1f5ddee38d2d2cebd9863b7c39bdf783df863c2867030aa2a3b897cad
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