Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2") model = AutoModelForCTC.from_pretrained("lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c24ed0fd845f2573a6335284d065fbcdabc9096913bb84c8bac960d07de6bf11
- Size of remote file:
- 1.26 GB
- SHA256:
- a2e0a5a233bf51a5d7e71c61dde967d3a0dd78a4348bb99acb328a08bc1e55b6
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