Instructions to use laura63/wav2vec2-base-finetuned-ks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laura63/wav2vec2-base-finetuned-ks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="laura63/wav2vec2-base-finetuned-ks")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("laura63/wav2vec2-base-finetuned-ks") model = AutoModelForAudioClassification.from_pretrained("laura63/wav2vec2-base-finetuned-ks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
wav2vec2-base-finetuned-ks / runs /Jul06_15-43-59_0bcf9beed2fc /events.out.tfevents.1688658285.0bcf9beed2fc.149506.0
Download runs/Jul06_15-43-59_0bcf9beed2fc/events.out.tfevents.1688658285.0bcf9beed2fc.149506.0 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 13.2 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul06_15-43-59_0bcf9beed2fc/events.out.tfevents.1688658285.0bcf9beed2fc.149506.0
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks@ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul06_15-43-59_0bcf9beed2fc/events.out.tfevents.1688658285.0bcf9beed2fc.149506.0
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curl -L -o events.out.tfevents.1688658285.0bcf9beed2fc.149506.0 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul06_15-43-59_0bcf9beed2fc/events.out.tfevents.1688658285.0bcf9beed2fc.149506.0
13.2 kB
- Xet hash:
- 93cbea239592357b1ae1fdf3240208542c262c2aeb37aba313195c9fe5e31c6a
- Size of remote file:
- 13.2 kB
- SHA256:
- d806ae495e450e862c0d6b06c60eeb35a43d3afd23508e57977b3c32f7127240
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