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 /Jul04_07-17-18_367fe83f165c /events.out.tfevents.1688455172.367fe83f165c.25779.0
Download runs/Jul04_07-17-18_367fe83f165c/events.out.tfevents.1688455172.367fe83f165c.25779.0 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 4.18 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul04_07-17-18_367fe83f165c/events.out.tfevents.1688455172.367fe83f165c.25779.0
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks@ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul04_07-17-18_367fe83f165c/events.out.tfevents.1688455172.367fe83f165c.25779.0
-
curl -L -o events.out.tfevents.1688455172.367fe83f165c.25779.0 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul04_07-17-18_367fe83f165c/events.out.tfevents.1688455172.367fe83f165c.25779.0
4.18 kB
- Xet hash:
- b1ebc0594ef3ce8c0d57da41f8c568eb6587e894e7675381a0d76bcbfec9991a
- Size of remote file:
- 4.18 kB
- SHA256:
- 71a2c66830f061ac516d0bcbe519a233276450700a2cc14b2fecdfb2b30f93c5
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