Instructions to use Porameht/whisper-tiny-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Porameht/whisper-tiny-thai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Porameht/whisper-tiny-thai")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Porameht/whisper-tiny-thai") model = AutoModelForSpeechSeq2Seq.from_pretrained("Porameht/whisper-tiny-thai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Porameht/whisper-tiny-thai: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Porameht/whisper-tiny-thai/resolve/main/training_args.bin
- Command line
-
hf download hf://Porameht/whisper-tiny-thai/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Porameht/whisper-tiny-thai/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- ff65e8ab9911c41419380748fe16e9331aff41bc8077e196ce3b9eb1c34d1480
- Size of remote file:
- 5.24 kB
- SHA256:
- 4bf1035584819bc9955dbb04e5c01bdea87defde4eda1ca7eb6e7f21902dd63c
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