Instructions to use j2ampn/qwen3-4b-distractor-lora-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j2ampn/qwen3-4b-distractor-lora-v7 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("j2ampn/qwen3-4b-distractor-lora-v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- ab8fa530963a25d4becdd4852fe072183bbba0605c6d7b01853e19626845c47e
- Size of remote file:
- 264 MB
- SHA256:
- fb99a8551f385f75b532b25da06adf7055131c13d7e6bc6569289c7527eca4d0
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