Instructions to use zhu-thu-22/GuardReasoner-Omni-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhu-thu-22/GuardReasoner-Omni-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="zhu-thu-22/GuardReasoner-Omni-3B")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("zhu-thu-22/GuardReasoner-Omni-3B") model = AutoModelForTextToWaveform.from_pretrained("zhu-thu-22/GuardReasoner-Omni-3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd15a6e25b0dc80fe2339154c9db8c712e0bdbe99ab3e3594c990561651d5242
- Size of remote file:
- 11.4 MB
- SHA256:
- 1ab7a851e5c63d5fafbfdac72e3b4a8d08613f6bbb06ee39036fdf870ef59c93
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