Instructions to use al-css/PagesClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use al-css/PagesClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="al-css/PagesClassificationModel") 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/PagesClassificationModel") model = AutoModelForImageClassification.from_pretrained("al-css/PagesClassificationModel") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "total_flos": 3.045462487125811e+16, | |
| "train_loss": 0.1802522621902765, | |
| "train_runtime": 46.5838, | |
| "train_samples_per_second": 8.436, | |
| "train_steps_per_second": 1.095 | |
| } |