Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
Instructions to use lgris/bp-commonvoice100-xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/bp-commonvoice100-xlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/bp-commonvoice100-xlsr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/bp-commonvoice100-xlsr") model = AutoModelForCTC.from_pretrained("lgris/bp-commonvoice100-xlsr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1add0c714647f3aa8af17f9b5de05bb6afb52a4b139d3d7f05d3987ae1755399
- Size of remote file:
- 1.26 GB
- SHA256:
- bbda01d3028d5656a31380a4ec3a38d195be306ef28fa82562db3dcf1afce533
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