Automatic Speech Recognition
Transformers
PyTorch
JAX
Portuguese
wav2vec2
audio
speech
apache-2.0
portuguese-speech-corpus
xlsr-fine-tuning-week
PyTorch
Eval Results (legacy)
Instructions to use joaoalvarenga/wav2vec2-large-xlsr-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/wav2vec2-large-xlsr-portuguese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/wav2vec2-large-xlsr-portuguese")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/wav2vec2-large-xlsr-portuguese") model = AutoModelForCTC.from_pretrained("joaoalvarenga/wav2vec2-large-xlsr-portuguese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e8d7115c208a55db9e009e4b7a8e9ee721f97bff4e3aa3554352defc36be68c
- Size of remote file:
- 1.26 GB
- SHA256:
- ca40edf88d48f2a5b8301c7fa433cfba7646614b371ece1f22cf8318506969eb
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