Instructions to use leahkerry/audiotutorial_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leahkerry/audiotutorial_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="leahkerry/audiotutorial_model2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("leahkerry/audiotutorial_model2") model = AutoModelForAudioClassification.from_pretrained("leahkerry/audiotutorial_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from leahkerry/audiotutorial_model2: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/leahkerry/audiotutorial_model2/resolve/main/training_args.bin
- Command line
-
hf download hf://leahkerry/audiotutorial_model2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leahkerry/audiotutorial_model2/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- c597c6f8cf98457e2f3a388c5247f157b85eadf0173abff83d5676e75ba84822
- Size of remote file:
- 5.37 kB
- SHA256:
- 5f18cbbc5178f355da159b3b12336763204db7f9481bc17959b3fba098784d50
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