Instructions to use Milana/model-classifier-vctk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milana/model-classifier-vctk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Milana/model-classifier-vctk")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Milana/model-classifier-vctk") model = AutoModelForAudioClassification.from_pretrained("Milana/model-classifier-vctk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Milana/model-classifier-vctk: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Milana/model-classifier-vctk/resolve/main/training_args.bin
- Command line
-
hf download hf://Milana/model-classifier-vctk/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Milana/model-classifier-vctk/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 511ebf18ce871dac96d85d2679afd803cf3e72174fc6be53bd1c1ab1f7c73a3d
- Size of remote file:
- 5.11 kB
- SHA256:
- 8f9a35e781cc253017a95b7ad990bf9d81dcf48aaf2ce31cb484993702f52310
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