Instructions to use nectec/Pathumma-whisper-th-large-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nectec/Pathumma-whisper-th-large-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nectec/Pathumma-whisper-th-large-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nectec/Pathumma-whisper-th-large-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("nectec/Pathumma-whisper-th-large-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
PATTARA TIPAKSORN commited on
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## Citation
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```
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@misc{
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title = { {Pathumma Whisper Large V3 (TH)} },
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author = { Pattara
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url = { https://huggingface.co/nectec/Pathumma-whisper-th-large-v3 },
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publisher = { Hugging Face },
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year = { 2024 },
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## Citation
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```
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@misc{tipaksorn2024PathummaWhisper,
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title = { {Pathumma Whisper Large V3 (TH)} },
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author = { Pattara Tipaksorn and Wayupuk Sommuang and Oatsada Chatthong and Kwanchiva Thangthai },
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url = { https://huggingface.co/nectec/Pathumma-whisper-th-large-v3 },
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publisher = { Hugging Face },
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year = { 2024 },
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