Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Italian
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use matteocirca/whisper-small-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matteocirca/whisper-small-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="matteocirca/whisper-small-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("matteocirca/whisper-small-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("matteocirca/whisper-small-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
745451b -
End of training
18c50eb -
End of training
d1bfb84 -
End of training
053822a
-
Upload WhisperForConditionalGeneration
b9931d1 -
Model save
750da56 -
Training in progress, step 700
2842da0 -
Training in progress, step 600
70ceea1 -
Training in progress, step 500
7f0dc9c -
Training in progress, step 400
5b8cd7f -
Training in progress, step 300
612ede2 -
Training in progress, step 200
29662fd -
Training in progress, step 100
9fe7cfd
-
initial commit
bf7e19f