Instructions to use Alfiyani/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alfiyani/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Alfiyani/image_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("Alfiyani/image_classification") model = AutoModelForImageClassification.from_pretrained("Alfiyani/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 1
7fdd61e -
Training in progress, epoch 1
1e16348 -
Training in progress, epoch 1
742e7b5 -
Training in progress, epoch 1
522d53f -
Training in progress, epoch 1
3dc4802 -
Training in progress, epoch 1
65221f8 -
Training in progress, epoch 1
f31581e -
Training in progress, epoch 1
3bcd19d -
Training in progress, epoch 1
5d5edc8