Instructions to use juierror/whisper-base-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juierror/whisper-base-thai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="juierror/whisper-base-thai")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("juierror/whisper-base-thai") model = AutoModelForSpeechSeq2Seq.from_pretrained("juierror/whisper-base-thai") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (e6004977eea47f8ae9ad577bf1c7e3ffd465e785)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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