Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
Generated from Trainer
whisper-event
Eval Results (legacy)
Instructions to use luigisaetta/whisper-tiny2-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luigisaetta/whisper-tiny2-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="luigisaetta/whisper-tiny2-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("luigisaetta/whisper-tiny2-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("luigisaetta/whisper-tiny2-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
6c6c3e7 -
Update README.md
8fe3d8b -
Update README.md
29f56fa -
update model card README.md
6c8e0d6 -
Model save
9541f8b -
Training in progress, step 5000
192b84e -
Training in progress, step 4000
f313122 -
Training in progress, step 3000
d015a73 -
Training in progress, step 2000
336c11a -
Training in progress, step 1000
ad5cbb6 -
initial commit
af3ec25