Instructions to use aydink/hubert-base-ls960-finetuned-common_voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aydink/hubert-base-ls960-finetuned-common_voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="aydink/hubert-base-ls960-finetuned-common_voice")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("aydink/hubert-base-ls960-finetuned-common_voice") model = AutoModelForAudioClassification.from_pretrained("aydink/hubert-base-ls960-finetuned-common_voice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
Browse files
model.safetensors
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runs/May27_09-04-27_475263eff9c7/events.out.tfevents.1716808350.475263eff9c7.1564.5
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