Instructions to use Rajaram1996/Hubert_emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rajaram1996/Hubert_emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Rajaram1996/Hubert_emotion")# Load model directly from transformers import AutoProcessor, HubertForSpeechClassification processor = AutoProcessor.from_pretrained("Rajaram1996/Hubert_emotion") model = HubertForSpeechClassification.from_pretrained("Rajaram1996/Hubert_emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
How to train this model with dimensional emotion like msp podcast?
#5
by Abie32 - opened
Hi, my name is abie
i just learn about machine learning, and the model that i know is for sequence classification, but this model seems like wav2vec right and i want to know, how to train this model into dimensional emotion, how to define the label beacuse the dimensional emotion should be float number, not a class