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_15-46-39_0bcf9beed2fc /events.out.tfevents.1688658419.0bcf9beed2fc.149506.1
Download runs/Jul06_15-46-39_0bcf9beed2fc/events.out.tfevents.1688658419.0bcf9beed2fc.149506.1 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 6.62 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul06_15-46-39_0bcf9beed2fc/events.out.tfevents.1688658419.0bcf9beed2fc.149506.1
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks@ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul06_15-46-39_0bcf9beed2fc/events.out.tfevents.1688658419.0bcf9beed2fc.149506.1
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curl -L -o events.out.tfevents.1688658419.0bcf9beed2fc.149506.1 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul06_15-46-39_0bcf9beed2fc/events.out.tfevents.1688658419.0bcf9beed2fc.149506.1
6.62 kB
- Xet hash:
- 011c67a844ed7fdebac8a0b901309761ff36b89b4bf422b640816a756c6fb637
- Size of remote file:
- 6.62 kB
- SHA256:
- 84899b20a8c18431cb8f7794234df607f0d8ba85321227402b38d4c2bdd45c90
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