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
- Xet hash:
- a5e2fab12aa3b797bffeb2bfe425dd7292acdfae2b7c25a84460c5738efc2ad1
- Size of remote file:
- 1.26 GB
- SHA256:
- f90d226cd4bbeb5651b4300dceec5639dade8ae051f19443f798cbb0ff94332a
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