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:
- 8b52ed12e2dfd9aed342c9019a5a49a60e29207e3c8afb3a24bae566acb28f9c
- Size of remote file:
- 3.06 GB
- SHA256:
- e7ccaaa06d136b6008caf2fc2fdf87983b326c251b1124ff059b7f8192400495
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