Instructions to use FidelOdok/doa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FidelOdok/doa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FidelOdok/doa_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("FidelOdok/doa_model") model = AutoModelForAudioClassification.from_pretrained("FidelOdok/doa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FidelOdok/doa_model: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/FidelOdok/doa_model/resolve/main/training_args.bin
- Command line
-
hf download hf://FidelOdok/doa_model/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/FidelOdok/doa_model/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 1dc21f267a7a29e1162ec866a79f07d452ae2bbec49096427ea822529cf32c4e
- Size of remote file:
- 3.58 kB
- SHA256:
- 6e6255f8ce15082152b6c97558efd2db6a1667fd6fe8152daa0e85d3d25d1891
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