Image Classification
timm
Russian
English
manuscript
bookbinding
cultural-heritage
digital-humanities
convnext
fine-tuned
Instructions to use Infarondus/Klein-marchen_Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Infarondus/Klein-marchen_Base with timm:
import timm model = timm.create_model("hf_hub:Infarondus/Klein-marchen_Base", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06ab53bb1b3a34c211a98d53d1551216cdf046f7b4cc954d3a9ea98cc2ba0156
- Size of remote file:
- 87.2 MB
- SHA256:
- 50d588f3e530810db42277a452d4afdea994ab1b2ee1f4afe672dc973a2cb325
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