Instructions to use anderloh/FineTunedModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/FineTunedModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/FineTunedModel")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/FineTunedModel") model = AutoModelForAudioClassification.from_pretrained("anderloh/FineTunedModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17b9184b36572edc27fa644d25155d03d0778c650d76bd69e1eb943da2f44b83
- Size of remote file:
- 4.02 kB
- SHA256:
- 7a9d1df1472fc9f8c3ab59c9507586079994ea1a1d3b1ce6794c21f80060fa80
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