Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Sandiago21/whisper-large-v2-italian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/whisper-large-v2-italian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sandiago21/whisper-large-v2-italian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sandiago21/whisper-large-v2-italian") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sandiago21/whisper-large-v2-italian") - Notebooks
- Google Colab
- Kaggle
Commit ·
2781f12
1
Parent(s): 006d558
Training in progress, epoch 0
Browse files- pytorch_model.bin +1 -1
- runs/Aug01_10-01-49_c29dfb936ef1/1690884121.661962/events.out.tfevents.1690884121.c29dfb936ef1.909992.1 +3 -0
- runs/Aug01_10-01-49_c29dfb936ef1/events.out.tfevents.1690884121.c29dfb936ef1.909992.0 +3 -0
- runs/Jul23_17-40-43_c29dfb936ef1/events.out.tfevents.1690134058.c29dfb936ef1.856544.0 +2 -2
- training_args.bin +1 -1
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