Instructions to use ctaguchi/wav2vec2-xls-r-300m-gui-ufe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctaguchi/wav2vec2-xls-r-300m-gui-ufe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ctaguchi/wav2vec2-xls-r-300m-gui-ufe")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ctaguchi/wav2vec2-xls-r-300m-gui-ufe") model = AutoModelForCTC.from_pretrained("ctaguchi/wav2vec2-xls-r-300m-gui-ufe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a35caea5fbccf4eab5d36687bdeef5c6fc37d83b895c83a01fc2fd38fe046293
- Size of remote file:
- 5.27 kB
- SHA256:
- 9ee1c3b1d21c2e832fec224093076c172f186e07ce438340cd86297cd50fdeab
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