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 /Jul05_06-07-53_900ddf60c25f /events.out.tfevents.1688537406.900ddf60c25f.13312.0
Download runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688537406.900ddf60c25f.13312.0 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 122 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688537406.900ddf60c25f.13312.0
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks/runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688537406.900ddf60c25f.13312.0
-
curl -L -o events.out.tfevents.1688537406.900ddf60c25f.13312.0 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688537406.900ddf60c25f.13312.0
122 kB
- Xet hash:
- dae612e8534386d9ad4479352575ed8dd7cfc64d4550714e9aabbc90df2d0d96
- Size of remote file:
- 122 kB
- SHA256:
- 957354383d650eab0689df87dc8530d209625df5a7a394d42181537bd65a1539
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