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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("al-css/faces_classification") model = AutoModelForImageClassification.from_pretrained("al-css/faces_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 500
Verified signatureb3075e3 -
Training in progress, step 150
Verified signatured009eb4 -
Training in progress, step 500
Verified signatured9b28e7 -
Training in progress, step 500
Verified signature39e3e0a -
Training in progress, step 500
Verified signature02ec94a -
Training in progress, step 480
Verified signature89f221e -
Training in progress, epoch 1
Verified signatured54882a -
Training in progress, epoch 1
Verified signature5bdef1e -
Training in progress, epoch 1
Verified signaturefa900d9