Instructions to use WillyArdiyanto/emotion_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WillyArdiyanto/emotion_image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="WillyArdiyanto/emotion_image_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("WillyArdiyanto/emotion_image_classification") model = AutoModelForImageClassification.from_pretrained("WillyArdiyanto/emotion_image_classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
2baea72
1
Parent(s): 02d87a5
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (3c355a2113b2ed809b530d518b8d6f8591436339)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
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size 343242432
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