Instructions to use BELLE-2/Belle-whisper-large-v3-turbo-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BELLE-2/Belle-whisper-large-v3-turbo-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BELLE-2/Belle-whisper-large-v3-turbo-zh")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BELLE-2/Belle-whisper-large-v3-turbo-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("BELLE-2/Belle-whisper-large-v3-turbo-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
您好,请问如何将您的模型在fasterwhisper中使用
#8
by SkyFengStudio - opened
您好,请问如何将您的模型在fasterwhisper中使用
之前使用了Huan69/Belle-whisper-large-v3-zh-punct-fasterwhisper成功在fasterwhisper中运行了,请问如何实现将您的新模型也适配fasterwhisper,感谢!
You need convert using CT2, refers to this https://huggingface.co/BELLE-2/Belle-whisper-large-v3-zh/discussions/10#6746c69e336ec02b57e1d9f1
非常感谢!我去之前尝试过转换为ct2,但是用faster whisper运行时出的全是乱码,我先看看您之前的指导,学习一下,再次感谢