Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use nefasto/whisper-small-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nefasto/whisper-small-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nefasto/whisper-small-it")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nefasto/whisper-small-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("nefasto/whisper-small-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f08ae682c84c3abc1a7dc7e14c8e8e66ce56105b166c90e0705e0ab98efdf39
- Size of remote file:
- 3.58 kB
- SHA256:
- 1c961c1a1db15e7037b6b46d83e02e406a7f35da8c5de81ac3075bd8974b2a45
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