Instructions to use wojtek2288/audio_model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wojtek2288/audio_model_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="wojtek2288/audio_model_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("wojtek2288/audio_model_v2") model = AutoModelForAudioClassification.from_pretrained("wojtek2288/audio_model_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from wojtek2288/audio_model_v2: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/wojtek2288/audio_model_v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://wojtek2288/audio_model_v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/wojtek2288/audio_model_v2/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 66d93852a634021597a5fd45a72d09fcb6a21f1ad88dcb45f80ed4f6f7dbcf28
- Size of remote file:
- 378 MB
- SHA256:
- 1f4c261e2162875806ef028b6293923ec3f36506925ad9c5b8e75110b9179fe9
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