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:
- c732045f902a60584a95f271f87ad4dd82ae87f1025d40e37b51f949d454015c
- Size of remote file:
- 87.2 MB
- SHA256:
- cf92b2c5c57f2b2fd0e237e675c92d6ebcc1b096d613bff211d2112286cb33ef
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