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
Is this not usable in whisper.cpp?
1
#10 opened over 1 year ago
by
LeviAHaifa
比起默认的turbo有很大改观,不过也有新的问题,转录文本的前/后有莫名的padding
4
#9 opened almost 2 years ago
by
puppyinwind
您好,请问如何将您的模型在fasterwhisper中使用
4
#8 opened almost 2 years ago
by
SkyFengStudio
结果很差
1
#7 opened almost 2 years ago
by
MonolithFoundation
请问 PyTorch 需求
1
#6 opened almost 2 years ago
by
roach231428
模型问题
2
#5 opened almost 2 years ago
by
kunyuan-123
bin模型文件支持在whisper.cpp中运行吗?
5
#3 opened almost 2 years ago
by
telehan
Adding `safetensors` variant of this model
#2 opened almost 2 years ago
by
SFconvertbot
turbo模型的大小不是只有原來的一半?
1
#1 opened almost 2 years ago
by
Lamara091