Instructions to use BELLE-2/Belle-whisper-large-v3-turbo-zh-ggml 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-ggml 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-ggml")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BELLE-2/Belle-whisper-large-v3-turbo-zh-ggml", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome
If you find this model helpful, please like this model and star us on https://github.com/LianjiaTech/BELLE and https://github.com/shuaijiang/Whisper-Finetune
Belle-whisper-large-v3-turbo-zh-ggml
The GGML version of Belle-whisper-large-v3-turbo-zh, used for whisper.cpp
More info about the model, please refer to https://huggingface.co/BELLE-2/Belle-whisper-large-v3-turbo-zh