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:
- e30d99f091651f989e635595253f98a5c38ba4b7c49102d3cbf5a3b5191721eb
- Size of remote file:
- 87.2 MB
- SHA256:
- fd76a19ef558a6e5ab25037f238778622d38663e4ab6cd1656691ff8a54e30c7
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