Instructions to use wojtek2288/audio_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wojtek2288/audio_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="wojtek2288/audio_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("wojtek2288/audio_model") model = AutoModelForAudioClassification.from_pretrained("wojtek2288/audio_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wojtek2288/audio_model: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/wojtek2288/audio_model/resolve/main/training_args.bin
- Command line
-
hf download hf://wojtek2288/audio_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wojtek2288/audio_model/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- ddf852f75c53dd792ddaff4f360c5ae55a01dbc2a7d0270d3f6ad3667b9c80e5
- Size of remote file:
- 4.54 kB
- SHA256:
- 084fb0ed0167e4ab131986b0be89a84b78901d44edb40f597dbfe4448e62f7fb
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