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:
- 5811d622fb584008cf8effbb83c08f23b979644103335e595660dbb426e98476
- Size of remote file:
- 1.26 GB
- SHA256:
- 2af4ca49e18ecf90f9a0c59d0ea0db610005fd93a07fdc23966f2baacbae028b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.