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:
- 91d1e166ce78f0635dad80309241a6e48dc4e5bc278d721d589db068a8d68dbd
- Size of remote file:
- 87.2 MB
- SHA256:
- 8db96e398081488764a3b374429c30d02ccbfa4efa978f438cef7d27c65e2fbe
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