Instructions to use Piro17/finetuned-fer2013-balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Piro17/finetuned-fer2013-balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Piro17/finetuned-fer2013-balanced") 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("Piro17/finetuned-fer2013-balanced") model = AutoModelForImageClassification.from_pretrained("Piro17/finetuned-fer2013-balanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c49b0218791f16e2b0b55facb8d01ee50dc5b0685e811b6649adea6d4f1e3ab
- Size of remote file:
- 3.52 kB
- SHA256:
- fb12d7ea08555a5fcc4c43eafe362a884aec8ef7840bf3fd7502cca2a0d507bb
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