Instructions to use AGI-Eval/Auto-ATT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AGI-Eval/Auto-ATT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="AGI-Eval/Auto-ATT")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("AGI-Eval/Auto-ATT") model = AutoModelForMultimodalLM.from_pretrained("AGI-Eval/Auto-ATT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae1e3b7a96b672f709d7f6f7f0d23dbf1f17944f4761f3881551c32e7c4d20b8
- Size of remote file:
- 12 MB
- SHA256:
- fecdb47d281073055efd605d080013e3114ed0f3c5d8af201e245b199864c9c7
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