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
Update README.md
#2
by davanstrien HF Staff - opened
README.md
CHANGED
|
@@ -8,6 +8,7 @@ metrics:
|
|
| 8 |
model-index:
|
| 9 |
- name: convnext_manuscript_iiif
|
| 10 |
results: []
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 8 |
model-index:
|
| 9 |
- name: convnext_manuscript_iiif
|
| 10 |
results: []
|
| 11 |
+
base_model: facebook/convnext-base-224-22k
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|