Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
Instructions to use lgris/bp-tedx100-xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/bp-tedx100-xlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/bp-tedx100-xlsr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/bp-tedx100-xlsr") model = AutoModelForCTC.from_pretrained("lgris/bp-tedx100-xlsr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0e71ba4ce8e6c7bb1b02f6a6cfd0697408c405bf193a0df418120f12ea53493
- Size of remote file:
- 1.26 GB
- SHA256:
- c393a7a5623ab85f8a1f6115509cc57a278aebfcad3ca9a4ba51f1128a033d03
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