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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TrorYongASR is an Encoder-Decoder model for Automatic Speech Recognition (ASR) task.
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It is inspired by [PARSeq](https://github.com/baudm/parseq/tree/main) and [Whisper](https://github.com/openai/whisper/tree/main): the auditory-lingual decoder has only one transformer block.
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<div align="center">
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| **Model Size** | Tiny | Small |
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TrorYongASR is an Encoder-Decoder model for Automatic Speech Recognition (ASR) task.
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It is inspired by [PARSeq](https://github.com/baudm/parseq/tree/main) and [Whisper](https://github.com/openai/whisper/tree/main): the auditory-lingual decoder has only one transformer block.
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<img src="figures/architecture.png" width="100%" alt="TrorYongASR">
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TrorYongASR has **2 configurations**:
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| **Model Size** | Tiny | Small |
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