Instructions to use Pauloherrera1/FaceDataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pauloherrera1/FaceDataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Pauloherrera1/FaceDataset") 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("Pauloherrera1/FaceDataset") model = AutoModelForImageClassification.from_pretrained("Pauloherrera1/FaceDataset") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9be35240d8c751ac110f14e53215c42c96f50c2c397d3357e6b6cdcfb1f161c
- Size of remote file:
- 5.2 kB
- SHA256:
- c1c9d289d1f85c91ed819a52ca0683916b7c2f642396c3f83e1209f032238d40
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