Instructions to use KrorngAI/TrorYongASR-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrorngAI/TrorYongASR-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KrorngAI/TrorYongASR-tiny", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KrorngAI/TrorYongASR-tiny", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -158,14 +158,14 @@ The evaluation assesses two capabilities — language detection and transcriptio
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| Model | Metric |
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| **Tiny** | Token Error Rate |
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| | Character Error Rate (CER) |
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| | Word Error Rate (WER) |
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| **Small** | Token Error Rate |
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| | Character Error Rate (CER) |
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| | Word Error Rate (WER) |
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**Key Observations:**
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| Model | Metric | Khmer | English | Combined (Khmer + English) |
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| **Tiny** | Token Error Rate | 56% | 19% | 29% |
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| | Character Error Rate (CER) | 60.71% | 20.98% | 32.89% |
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| | Word Error Rate (WER) | 86.16% | 31.13% | 46.53% |
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| **Small** | Token Error Rate | 46% | 10% | 19% |
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| | Character Error Rate (CER) | 35.31% | 7.08% | 15.54% |
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| | Word Error Rate (WER) | 50.70% | 12.95% | 23.52% |
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**Key Observations:**
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