Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use GIanlucaRub/whisper-tiny-it-7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GIanlucaRub/whisper-tiny-it-7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GIanlucaRub/whisper-tiny-it-7")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GIanlucaRub/whisper-tiny-it-7") model = AutoModelForSpeechSeq2Seq.from_pretrained("GIanlucaRub/whisper-tiny-it-7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
7bab2fb
1
Parent(s): aa3020c
End of training
Browse files
runs/Dec07_18-03-38_e9ed90d7370f/events.out.tfevents.1670436225.e9ed90d7370f.85.2
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