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")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("abletobetable/ast-emotion") model = AutoModelForAudioClassification.from_pretrained("abletobetable/ast-emotion") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:104f1ca34a57e33ad611a88932d1e2855b8c2f181d4f066795a65bd3dc8d6c77
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size 344805420
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