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 /Jul03_16-52-57_71427e3f87d4 /events.out.tfevents.1688403203.71427e3f87d4.16345.2
Download runs/Jul03_16-52-57_71427e3f87d4/events.out.tfevents.1688403203.71427e3f87d4.16345.2 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 44.2 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul03_16-52-57_71427e3f87d4/events.out.tfevents.1688403203.71427e3f87d4.16345.2
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks@ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul03_16-52-57_71427e3f87d4/events.out.tfevents.1688403203.71427e3f87d4.16345.2
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curl -L -o events.out.tfevents.1688403203.71427e3f87d4.16345.2 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul03_16-52-57_71427e3f87d4/events.out.tfevents.1688403203.71427e3f87d4.16345.2
44.2 kB
- Xet hash:
- d3e41b83bc6a44f3d7cb42d6016818f9501e30840023cc833c230e4626d370bd
- Size of remote file:
- 44.2 kB
- SHA256:
- 802c7a6b3721508f3ce97b7c44e72dcd5d46330eb512b0d39fce416a44d87033
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