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.1688542618.900ddf60c25f.13312.1
Download runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688542618.900ddf60c25f.13312.1 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 457 Bytes
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688542618.900ddf60c25f.13312.1
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks/runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688542618.900ddf60c25f.13312.1
-
curl -L -o events.out.tfevents.1688542618.900ddf60c25f.13312.1 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jul05_06-07-53_900ddf60c25f/events.out.tfevents.1688542618.900ddf60c25f.13312.1
457 Bytes
- Xet hash:
- 2becc2de375e973fe29ae0d53c9deb7912201b16365d4bda4f6c752638103303
- Size of remote file:
- 457 Bytes
- SHA256:
- 7e094312edbdc74cf36ced6d9f3048e664f2dfab642fdf7ddefba4991bb8ee41
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