Instructions to use Hoshipu/StageGuard-Qwen3.5-4B-LoRA-delay2-step-20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Hoshipu/StageGuard-Qwen3.5-4B-LoRA-delay2-step-20000 with PEFT:
Task type is invalid.
- Transformers
How to use Hoshipu/StageGuard-Qwen3.5-4B-LoRA-delay2-step-20000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hoshipu/StageGuard-Qwen3.5-4B-LoRA-delay2-step-20000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64b8ac2d076a0ba67842ace704272652976b9db0c72d9f7258ca19db0887447f
- Size of remote file:
- 85 MB
- SHA256:
- 85b85eeac4154eb2708286d728be32ff6b99dce891e67e29c3853ae16f2767eb
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