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_20-31-54_0d9bdaffced2 /events.out.tfevents.1688502810.0d9bdaffced2.48663.0
Download runs/Jul04_20-31-54_0d9bdaffced2/events.out.tfevents.1688502810.0d9bdaffced2.48663.0 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 9.73 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jul04_20-31-54_0d9bdaffced2/events.out.tfevents.1688502810.0d9bdaffced2.48663.0
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks/runs/Jul04_20-31-54_0d9bdaffced2/events.out.tfevents.1688502810.0d9bdaffced2.48663.0
-
curl -L -o events.out.tfevents.1688502810.0d9bdaffced2.48663.0 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jul04_20-31-54_0d9bdaffced2/events.out.tfevents.1688502810.0d9bdaffced2.48663.0
9.73 kB
- Xet hash:
- 5f861282f7c11a556e9a23a3abd4c77cf91ee90949098256e7eb138fd6ff1eda
- Size of remote file:
- 9.73 kB
- SHA256:
- 4bb4c96924709e36cea5ad9f383d86f73d7098d7ade2dff2d1a6919860adba59
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