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:
- a270155a4185231a2e94b760fb01f8345dc64266601411e1f1939c0b7b058d67
- Size of remote file:
- 757 MB
- SHA256:
- 5ab1aca21d4f21e60c4bb589b4f4da1060ef193a159e05478d04902cce624082
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