Instructions to use Jainam/audio_classify_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jainam/audio_classify_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Jainam/audio_classify_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Jainam/audio_classify_v1") model = AutoModelForAudioClassification.from_pretrained("Jainam/audio_classify_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Jainam/audio_classify_v1: direct link, hf CLI and curl.
- Browser
- Download file 757 MB
-
https://huggingface.co/Jainam/audio_classify_v1/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://Jainam/audio_classify_v1@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Jainam/audio_classify_v1/resolve/refs%2Fpr%2F1/optimizer.pt
757 MB
- Xet hash:
- c0aed0a339456d66652576e126927e8f907606c5fcfde26e3c431942192f4c8e
- Size of remote file:
- 757 MB
- SHA256:
- 3371989030375b9a919160065b718c475cb76bb4441f3c9b16175b3343133a1b
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