Instructions to use itsLeen/realFake-img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsLeen/realFake-img with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="itsLeen/realFake-img") 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("itsLeen/realFake-img") model = AutoModelForImageClassification.from_pretrained("itsLeen/realFake-img", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f6647be7f55a7b770fdadd571d95addd53079b08a3343fd616e460f7b4c7216
- Size of remote file:
- 5.18 kB
- SHA256:
- 03254cee2fd469747a3f589c4004c4ac370813bbeffd183f30a0081908102830
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.