Instructions to use MoosaTae/whisper-th-large-v3-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoosaTae/whisper-th-large-v3-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MoosaTae/whisper-th-large-v3-ft")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MoosaTae/whisper-th-large-v3-ft") model = AutoModelForSpeechSeq2Seq.from_pretrained("MoosaTae/whisper-th-large-v3-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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### Model Description
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train on private Thai localized datasets (50k rows)
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each data have lenght apporoximately 30 seconds
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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