Instructions to use mg5812/whisper-tiny-zh3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mg5812/whisper-tiny-zh3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mg5812/whisper-tiny-zh3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mg5812/whisper-tiny-zh3") model = AutoModelForSpeechSeq2Seq.from_pretrained("mg5812/whisper-tiny-zh3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 30
Browse files
pytorch_model.bin
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runs/Jul23_07-25-16_DESKTOP-10NJSB6/events.out.tfevents.1690068321.DESKTOP-10NJSB6.30266.72
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