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_14-46-54_b2d20dff41f9 /events.out.tfevents.1687877302.b2d20dff41f9.14114.0
Download runs/Jun27_14-46-54_b2d20dff41f9/events.out.tfevents.1687877302.b2d20dff41f9.14114.0 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 62.6 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jun27_14-46-54_b2d20dff41f9/events.out.tfevents.1687877302.b2d20dff41f9.14114.0
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks/runs/Jun27_14-46-54_b2d20dff41f9/events.out.tfevents.1687877302.b2d20dff41f9.14114.0
-
curl -L -o events.out.tfevents.1687877302.b2d20dff41f9.14114.0 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jun27_14-46-54_b2d20dff41f9/events.out.tfevents.1687877302.b2d20dff41f9.14114.0
62.6 kB
- Xet hash:
- da6202e848ba208d1915e4cf90b31da9385df4a8408a4a8feb8d39d80ea86ef4
- Size of remote file:
- 62.6 kB
- SHA256:
- 9ff958435fb48927d012a672f9d7e7b6125d981d7f94b309a580fe5fa44d8fa9
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