Instructions to use jpbello/Hubert_emotion-finetuned-common_language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpbello/Hubert_emotion-finetuned-common_language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jpbello/Hubert_emotion-finetuned-common_language")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("jpbello/Hubert_emotion-finetuned-common_language") model = AutoModelForAudioClassification.from_pretrained("jpbello/Hubert_emotion-finetuned-common_language") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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