Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Italian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use EdoAbati/whisper-medium-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdoAbati/whisper-medium-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="EdoAbati/whisper-medium-it")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("EdoAbati/whisper-medium-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("EdoAbati/whisper-medium-it") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files
pytorch_model.bin
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runs/Dec08_11-17-37_155-248-246-251/events.out.tfevents.1670498367.155-248-246-251.3736447.0
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