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:
- bc2826bb19ae7b0ad7bf05d0084d57fe1a6663b0d6831e129a162bbd0e9a7b79
- Size of remote file:
- 1.26 GB
- SHA256:
- 2001393616260a2451f54ce8eed437122326c6efcd9eccabb0a896fface9316f
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