Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
Instructions to use lgris/bp-voxforge1-xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/bp-voxforge1-xlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/bp-voxforge1-xlsr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/bp-voxforge1-xlsr") model = AutoModelForCTC.from_pretrained("lgris/bp-voxforge1-xlsr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d50c3c75f63872510b35d3e6d27011dbf3d2456063d4f49f5acc6218211a9bd7
- Size of remote file:
- 1.26 GB
- SHA256:
- 535e7b8100461d8ae3b262625ff44e4eaf1aa403747b7ec6ac80db84ab2a1444
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