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:
- d788bb4559d9eaa56e0477e2c55d40de687064edc4884120ba6b07916ab46078
- Size of remote file:
- 378 MB
- SHA256:
- c7b27857ec024b7350ac1c9b776cd909d00a270704529bd4a137b2bb8d6c4229
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