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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ALM/whisper-it-small-augmented") model = AutoModelForMultimodalLM.from_pretrained("ALM/whisper-it-small-augmented") - Notebooks
- Google Colab
- Kaggle
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README.md
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split: test
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args: it
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metrics:
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- type: wer (dataset augmented)
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value: 8.745747395279608
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name: Wer
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- type: wer
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value: 8.0
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name:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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split: test
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args: it
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metrics:
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- type: wer
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value: 8.0
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name: Wer
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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