Instructions to use FidelOdok/doa_model_TL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FidelOdok/doa_model_TL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FidelOdok/doa_model_TL")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("FidelOdok/doa_model_TL") model = AutoModelForAudioClassification.from_pretrained("FidelOdok/doa_model_TL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49216d2314b83b07b98fdc1a92fe4bf61ec42a41d74a2d5e34fe10be10203066
- Size of remote file:
- 3.58 kB
- SHA256:
- 46584c975982545142abcda8842e9c8e67c7669065a84fd7c268de9a7dde717a
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