Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
Generated from Trainer
whisper-event
Eval Results (legacy)
Instructions to use luigisaetta/whisper-small3-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luigisaetta/whisper-small3-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="luigisaetta/whisper-small3-it")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("luigisaetta/whisper-small3-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("luigisaetta/whisper-small3-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8eaa0642727adc9fe3ac931714b23afc5169bca4729a45fcae7d6e6a2d4f96c1
- Size of remote file:
- 3.58 kB
- SHA256:
- 48552e8c6140926467bff13bc0b98020e1b15ab8cfccde7ec0418fb8ca28dbc1
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