Automatic Speech Recognition
Transformers
PyTorch
JAX
Italian
wav2vec2
audio
speech
apache-2.0
portuguese-speech-corpus
xlsr-fine-tuning-week
PyTorch
Eval Results (legacy)
Instructions to use joaoalvarenga/wav2vec2-large-xlsr-italian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/wav2vec2-large-xlsr-italian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/wav2vec2-large-xlsr-italian")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/wav2vec2-large-xlsr-italian") model = AutoModelForCTC.from_pretrained("joaoalvarenga/wav2vec2-large-xlsr-italian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea1e310682c3affe97c811a1ebb2e81e9a5ca15a9fba726944bbd5c0b2c6d600
- Size of remote file:
- 1.26 GB
- SHA256:
- 89050a418afb364c0776704b8461ff002df7d5a4ff39aab4daabf66334ba0093
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