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_07-41-09_367fe83f165c /events.out.tfevents.1688456483.367fe83f165c.40814.0
Download runs/Jul04_07-41-09_367fe83f165c/events.out.tfevents.1688456483.367fe83f165c.40814.0 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 4.18 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul04_07-41-09_367fe83f165c/events.out.tfevents.1688456483.367fe83f165c.40814.0
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks@ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul04_07-41-09_367fe83f165c/events.out.tfevents.1688456483.367fe83f165c.40814.0
-
curl -L -o events.out.tfevents.1688456483.367fe83f165c.40814.0 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/ee93471cfa5b0a8a2f2d28f88391955f3abfe3c4/runs/Jul04_07-41-09_367fe83f165c/events.out.tfevents.1688456483.367fe83f165c.40814.0
4.18 kB
- Xet hash:
- 78430577dbcaf1e2160e7c7959f4c80a186bd92b2b24b8d5036d6a1e0e86feee
- Size of remote file:
- 4.18 kB
- SHA256:
- 757963f8994c6bd27fa233a7e06b587d4696ca2408495540c07ea40265c60aec
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