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
File size: 385 Bytes
d6b8c56 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"epoch": 3.0,
"eval_accuracy": 1.0,
"eval_loss": 0.003107850207015872,
"eval_runtime": 3.2096,
"eval_samples_per_second": 10.282,
"eval_steps_per_second": 1.558,
"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
} |