Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
whisper-event
Generated from Trainer
Instructions to use lorenzoncina/whisper-medium-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lorenzoncina/whisper-medium-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lorenzoncina/whisper-medium-zh")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lorenzoncina/whisper-medium-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("lorenzoncina/whisper-medium-zh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e30b1384b2827208075258cfad210643d88c8b3b9ed64d67675b4c0de48c98c
- Size of remote file:
- 3.71 kB
- SHA256:
- 8d8673d2c253c1f0a46571b7d420da252b6ee10acc870065c881adbf2faacd6f
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