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
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (0eccf44e455093263e95698df42a5cfbbd74a247)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1deef4809a0c260763af7152710194089ff3773be0caea4b6db78c98c31cc65
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size 151061672
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