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") - Notebooks
- Google Colab
- Kaggle
# 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")Quick Links
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