Automatic Speech Recognition
Transformers
PyTorch
Italian
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use whispy/whisper_italian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whispy/whisper_italian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="whispy/whisper_italian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("whispy/whisper_italian") model = AutoModelForSpeechSeq2Seq.from_pretrained("whispy/whisper_italian") - Notebooks
- Google Colab
- Kaggle
Using `convert-h5-to-ggml.py` I get this error : o such file or directory: 'whisper.cpp/whisper/assets/mel_filters.npz'
#3 opened over 1 year ago
by
Raphy10-Collab
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot