Instructions to use abletobetable/ast-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/ast-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="abletobetable/ast-emotion")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("abletobetable/ast-emotion") model = AutoModelForAudioClassification.from_pretrained("abletobetable/ast-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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