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 model.safetensors from leahkerry/audiotutorial_model2: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/leahkerry/audiotutorial_model2/resolve/main/model.safetensors
- Command line
-
hf download hf://leahkerry/audiotutorial_model2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/leahkerry/audiotutorial_model2/resolve/main/model.safetensors
378 MB
- Xet hash:
- d63f653b86789ae7cae5bbf0917248a18a206cb38f9e8b29a8f660d6b38a03ae
- Size of remote file:
- 378 MB
- SHA256:
- e99c0511b18605907ddf7037db2819b3648b6095429b4706f8bfdda7b853a2e7
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