Instructions to use davidbae/ipa-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidbae/ipa-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="davidbae/ipa-asr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("davidbae/ipa-asr") model = AutoModelForCTC.from_pretrained("davidbae/ipa-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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## Model Details
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- **Version**: v1
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- **Eval Loss**: 2.0914
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- **Eval CER**: 0.3226
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- **Dataset**: train-Announcer, test-Foreign40
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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