Instructions to use anderloh/FineTuned_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/FineTuned_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/FineTuned_Model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/FineTuned_Model") model = AutoModelForAudioClassification.from_pretrained("anderloh/FineTuned_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a24f9a8208dba2dd9f747a98e1595f582ed39974ef91490d8c041f4105ef0fc6
- Size of remote file:
- 378 MB
- SHA256:
- f9c3da37f19b5434f08ad35182092a80d6eafa5d51f565d2308818a9af01c1e6
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