Instructions to use FidelOdok/doa_model_TL4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FidelOdok/doa_model_TL4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FidelOdok/doa_model_TL4")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("FidelOdok/doa_model_TL4") model = AutoModelForAudioClassification.from_pretrained("FidelOdok/doa_model_TL4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FidelOdok/doa_model_TL4: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/FidelOdok/doa_model_TL4/resolve/main/training_args.bin
- Command line
-
hf download hf://FidelOdok/doa_model_TL4/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/FidelOdok/doa_model_TL4/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- af1b1541bb4f29c4bf1db69048af143bd8484baba84c381dee35ed1949da2bdc
- Size of remote file:
- 3.58 kB
- SHA256:
- 20021f495560e6e5841c8fe19ef54e75b4daa8fb6ce2024fb92af5dceed0fec4
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