Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use Plim/xls-r-300m-lm-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Plim/xls-r-300m-lm-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Plim/xls-r-300m-lm-fr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Plim/xls-r-300m-lm-fr") model = AutoModelForCTC.from_pretrained("Plim/xls-r-300m-lm-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "train_loss": 0.02791261456650878, | |
| "train_runtime": 12943.901, | |
| "train_samples": 395042, | |
| "train_samples_per_second": 61.039, | |
| "train_steps_per_second": 0.477 | |
| } |