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
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot