Instructions to use iisking/wav2vec2-vocal-disable-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iisking/wav2vec2-vocal-disable-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="iisking/wav2vec2-vocal-disable-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("iisking/wav2vec2-vocal-disable-classification") model = AutoModelForAudioClassification.from_pretrained("iisking/wav2vec2-vocal-disable-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from iisking/wav2vec2-vocal-disable-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/iisking/wav2vec2-vocal-disable-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://iisking/wav2vec2-vocal-disable-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/iisking/wav2vec2-vocal-disable-classification/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 3405c530cc5f1295e7d21ad1a435cfda1096583422e2bd2363baf3e41d19e7b3
- Size of remote file:
- 5.11 kB
- SHA256:
- e48f80f5f7846c1de45b12dd03848923118b7f8dcfa969a22a9b8fb06dc3c376
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