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-cv-coral-30ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/wav2vec2-cv-coral-30ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/wav2vec2-cv-coral-30ep")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/wav2vec2-cv-coral-30ep") model = AutoModelForCTC.from_pretrained("joaoalvarenga/wav2vec2-cv-coral-30ep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee6cf1350267ba2a9e41507ac5c84ed6ccf3583221270bf5852110deb2131b54
- Size of remote file:
- 1.26 GB
- SHA256:
- 3eb92064bd0c1431cca8e34818866c181906649871a267e07ad1913bd988ac16
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