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:
- c5750925162fac29dd13f1cc7577b9bed2e75237f582be4ed7818f2961c44222
- Size of remote file:
- 623 Bytes
- SHA256:
- 82e44ac207bea40c1c5d082a1a24bbc7b8e0a079cb4ee6a13288dd13795b56b0
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