Instructions to use davanstrien/convnext_manuscript_iiif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/convnext_manuscript_iiif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/convnext_manuscript_iiif") 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("davanstrien/convnext_manuscript_iiif") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext_manuscript_iiif") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 30.0, | |
| "eval_f1": 0.003679096298311292, | |
| "eval_loss": 5.585614204406738, | |
| "eval_runtime": 105.002, | |
| "eval_samples_per_second": 219.158, | |
| "eval_steps_per_second": 3.429, | |
| "train_loss": 2.558345020757144, | |
| "train_runtime": 41575.9952, | |
| "train_samples_per_second": 94.093, | |
| "train_steps_per_second": 1.471 | |
| } |