Instructions to use 3una/finetuned-AffectNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3una/finetuned-AffectNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="3una/finetuned-AffectNet") 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("3una/finetuned-AffectNet") model = AutoModelForImageClassification.from_pretrained("3una/finetuned-AffectNet") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files
model.safetensors
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runs/Jan05_11-00-45_2247cd98422c/events.out.tfevents.1704452460.2247cd98422c.4324.0
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