Instructions to use xmj2002/hubert-base-ch-speech-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xmj2002/hubert-base-ch-speech-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="xmj2002/hubert-base-ch-speech-emotion-recognition")# Load model directly from transformers import AutoProcessor, HubertForSpeechClassification processor = AutoProcessor.from_pretrained("xmj2002/hubert-base-ch-speech-emotion-recognition") model = HubertForSpeechClassification.from_pretrained("xmj2002/hubert-base-ch-speech-emotion-recognition") - Notebooks
- Google Colab
- Kaggle
能否提供下您的训练代码?谢谢!
#5 opened 11 months ago
by
QLotus
train code
#3 opened almost 2 years ago
by
Evander1
数据集、loss的具体配置
2
#2 opened over 2 years ago
by
HanMK
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot