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:
- 2b4c7516f7f2461482ad7f6a79a10540137944f7d892c11097afc41c5ee8a629
- Size of remote file:
- 1.26 GB
- SHA256:
- f5554f8ba9f20572d6de54d5757e63322f74e7a6e3411935c41c649f8e01d4b0
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