Instructions to use vinai/PhoWhisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/PhoWhisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vinai/PhoWhisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vinai/PhoWhisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("vinai/PhoWhisper-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a13d746df4259c0d04b123ea868ac9d2bf4d6b591afb1ce926249d6d067cbf7
- Size of remote file:
- 151 MB
- SHA256:
- d2ce792bf53cf5854959034b66818cd59d65d356cf64f81bffab8791b7122714
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