Image Classification
Transformers
Safetensors
vit
image-classification, faces-recognition
Generated from Trainer
Instructions to use al-css/faces_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use al-css/faces_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="al-css/faces_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("al-css/faces_classification") model = AutoModelForImageClassification.from_pretrained("al-css/faces_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da748dd9a75629a4625885f1abce67b458d998515c09827cda962caaeb415aea
- Size of remote file:
- 344 MB
- SHA256:
- c1cc02a01ff22185e3d2f690058306ed30bafa52ab4239122f879bd833818372
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