Instructions to use alkiskoudounas/xls-r-128-italic-noisy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alkiskoudounas/xls-r-128-italic-noisy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="alkiskoudounas/xls-r-128-italic-noisy")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("alkiskoudounas/xls-r-128-italic-noisy") model = AutoModelForAudioClassification.from_pretrained("alkiskoudounas/xls-r-128-italic-noisy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 436552d7bef9b0ef9e179cf4adc136b06cfa9b9545e29c487e2f4b740218a89e
- Size of remote file:
- 2.53 GB
- SHA256:
- 5b0528a58a33b3e7f9f625a688f3120b1b219ee9cfbdf5ef998a6ee0069a93d3
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