Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Italian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ALM/whisper-it-small-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM/whisper-it-small-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALM/whisper-it-small-augmented")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ALM/whisper-it-small-augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("ALM/whisper-it-small-augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2745acb8a31e919d9cf8973b639719c7b15e50eb5129ea0037c913383bcda24e
- Size of remote file:
- 967 MB
- SHA256:
- 34062ee844536eec18731d33766b44d2ae3fbf3c8f78c38e9bbed461450aa860
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