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 /Jun27_17-16-29_b2d20dff41f9 /events.out.tfevents.1687886193.b2d20dff41f9.14114.4
Download runs/Jun27_17-16-29_b2d20dff41f9/events.out.tfevents.1687886193.b2d20dff41f9.14114.4 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jun27_17-16-29_b2d20dff41f9/events.out.tfevents.1687886193.b2d20dff41f9.14114.4
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks@ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jun27_17-16-29_b2d20dff41f9/events.out.tfevents.1687886193.b2d20dff41f9.14114.4
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curl -L -o events.out.tfevents.1687886193.b2d20dff41f9.14114.4 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jun27_17-16-29_b2d20dff41f9/events.out.tfevents.1687886193.b2d20dff41f9.14114.4
118 kB
- Xet hash:
- 045a198e69edc056366be16928e54b2c349ed8cc2c0d012745d5f4a6a092f9a5
- Size of remote file:
- 118 kB
- SHA256:
- af8b063cf93413f4db08c7771650bb09a3e1fa540e1d1445173c3ff64ab97f28
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