Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use Plim/xls-r-1b-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Plim/xls-r-1b-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Plim/xls-r-1b-fr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Plim/xls-r-1b-fr") model = AutoModelForCTC.from_pretrained("Plim/xls-r-1b-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdd5cc50607d250d5f3e673cf3937e827dacd2b0af456690f9d6960f56a67577
- Size of remote file:
- 2.99 kB
- SHA256:
- ea0d27699d4d57af416e18732ef87c5b3b62cc30d893cf90f1a3092dc74dd971
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.