Instructions to use hyperion-shuo/whisper-small-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperion-shuo/whisper-small-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hyperion-shuo/whisper-small-zh")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hyperion-shuo/whisper-small-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("hyperion-shuo/whisper-small-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c258cb5f3201568a67e509f274ba342bbdd5826de6c447fe8253a73bd77b9bbd
- Size of remote file:
- 4.21 kB
- SHA256:
- 380697bc1c8fffd18f5b7d5966f07cd95c3c80dc94e70fa14a34709ea3de545c
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