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") - Notebooks
- Google Colab
- Kaggle
How to train this model with dimensional emotion like msp podcast?
#5 opened about 2 years ago
by
Abie32
Update README.md
#4 opened about 2 years ago
by
not-lain
Datasets used to train the model
1
#3 opened over 2 years ago
by
pembatt
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot