Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mattiasu96/whisper-tiny-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattiasu96/whisper-tiny-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mattiasu96/whisper-tiny-it")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mattiasu96/whisper-tiny-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("mattiasu96/whisper-tiny-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1508eb26efa6becd9f03b06dc8986da6b724bb9ca5af3bf9c4b5c074ec9817ca
- Size of remote file:
- 151 MB
- SHA256:
- 6efc08799a002e3293475494ae4d1fc34e74d6a13e6139dfdaf4c7dc3677f869
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