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:
- ce6db2da17363d24febe72b349d8251435ea41925b1542d8504839d4dac26b08
- Size of remote file:
- 967 MB
- SHA256:
- a2a1af427305bea94a46530f627d3404addc7291d6ab884e9eb814d7727b1ede
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