Automatic Speech Recognition
Transformers
PyTorch
JAX
Italian
wav2vec2
audio
hf-asr-leaderboard
mozilla-foundation/common_voice_6_0
robust-speech-event
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use jonatasgrosman/wav2vec2-large-xlsr-53-italian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/wav2vec2-large-xlsr-53-italian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-italian")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-italian") model = AutoModelForCTC.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-italian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8f173c31f8a5bfbdb05d2bab4d89aad2f45a066d299e2c7d2e76b0aa4e462d4
- Size of remote file:
- 1.26 GB
- SHA256:
- 14040a54d1e0caecd8b2271fdd2d96653be45702c7bc8765354140d864fb445a
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