Instructions to use sami606713/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sami606713/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="sami606713/emotion_classification")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("sami606713/emotion_classification") model = AutoModelForAudioClassification.from_pretrained("sami606713/emotion_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| metrics: | |
| - accuracy | |
| library_name: transformers | |
| pipeline_tag: audio-classification | |
| language: | |
| - en | |