Instructions to use juierror/whisper-tiny-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juierror/whisper-tiny-thai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="juierror/whisper-tiny-thai")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("juierror/whisper-tiny-thai") model = AutoModelForSpeechSeq2Seq.from_pretrained("juierror/whisper-tiny-thai") - Notebooks
- Google Colab
- Kaggle
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| Common Voice 13 |
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| Gowajee |
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| Thai Elderly Speech (Smart Home) |
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| Thai Elderly Speech (Health Care) |
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| Dataset | WER | CER |
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| Common Voice 13 | 23.14 | 6.74 |
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| Gowajee | 24.79 | 11.39 |
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| Thai Elderly Speech (Smart Home) | 13.28 | 4.14 |
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| Thai Elderly Speech (Health Care) | 12.99 | 3.41 |
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