Instructions to use RobinWZQ/backdoor_motor2bike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RobinWZQ/backdoor_motor2bike with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RobinWZQ/backdoor_motor2bike", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d5b2ca667870695423899d1d1e47a09f7f90f1046395b798e4ff4fab6d9b6d5
- Size of remote file:
- 167 MB
- SHA256:
- 3e084c6d4ed96c64b786446a51f372051c941637e2ee8dd50b6fdc07534cf32d
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