Instructions to use KrorngAI/TrorYongASR-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrorngAI/TrorYongASR-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KrorngAI/TrorYongASR-small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KrorngAI/TrorYongASR-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Acknowledgement
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[`LightningAI`](https://lightning.ai) and `Google Colab` did not specifically sponsor this project.
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But, both models are
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So, huge thanks to [`LightningAI`](https://lightning.ai) and `Google Colab`.
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Thanks to the authors of [`PARSeq`](https://github.com/baudm/parseq/tree/main) and [`Whisper`](https://github.com/openai/whisper/tree/main) for their publicly available sourcecode.
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## Acknowledgement
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[`LightningAI`](https://lightning.ai), Kaggle, and `Google Colab` did not specifically sponsor this project.
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But, both models are trained thanks to their free credits.
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So, huge thanks to [`LightningAI`](https://lightning.ai), Kaggle and `Google Colab`.
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Thanks to the authors of [`PARSeq`](https://github.com/baudm/parseq/tree/main) and [`Whisper`](https://github.com/openai/whisper/tree/main) for their publicly available sourcecode.
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