Instructions to use sravan-gorugantu/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sravan-gorugantu/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="sravan-gorugantu/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("sravan-gorugantu/model") model = AutoModelForAudioClassification.from_pretrained("sravan-gorugantu/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sravan-gorugantu/model: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/sravan-gorugantu/model/resolve/main/training_args.bin
- Command line
-
hf download hf://sravan-gorugantu/model/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/sravan-gorugantu/model/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- d45eb2d2c805c796f6c3f484ae297ffbd63660cb6ab360a923f53a07990442ad
- Size of remote file:
- 4.92 kB
- SHA256:
- e0e634555a4856479fc2cae8d8e61de016e0b69acde2b7d74bd417a4e19fc481
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