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")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("matteocirca/whisper-small-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("matteocirca/whisper-small-it") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 053822a
End of training
Browse files
README.md
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# Whisper Small Italian
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.2447
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- Wer: 56.4799
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# Whisper Small Italian
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the type: common_voice_11_0, name: Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2447
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- Wer: 56.4799
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