Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
Generated from Trainer
whisper-event
Eval Results (legacy)
Instructions to use luigisaetta/whispermedium2plus-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luigisaetta/whispermedium2plus-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="luigisaetta/whispermedium2plus-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("luigisaetta/whispermedium2plus-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("luigisaetta/whispermedium2plus-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
c00d8ca -
Training in progress, step 6000
e01cc5f -
Training in progress, step 5000
3da64d8 -
Training in progress, step 4000
b784ddf -
Training in progress, step 3000
47d8439 -
Training in progress, step 2000
c3fb288
-
Training in progress, step 1000
194b19f