Instructions to use aware-ai/wav2vec2-xls-r-300m-german-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/wav2vec2-xls-r-300m-german-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aware-ai/wav2vec2-xls-r-300m-german-english")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("aware-ai/wav2vec2-xls-r-300m-german-english") model = AutoModelForCTC.from_pretrained("aware-ai/wav2vec2-xls-r-300m-german-english") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc2c4fe4af211d1d1b1d30cf7e672cbfebdcd2b98dff0e9ec4733599cc6b4121
- Size of remote file:
- 1.26 GB
- SHA256:
- 2faf281d8343b428e56680124926e583f016476d964b9fc4bc79b268013503b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.