Image Classification
timm
Russian
English
manuscript
bookbinding
cultural-heritage
digital-humanities
convnext
dinov2
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:
- bea38f1a9d1e5ca5eb141044a9bc23dfd121643eacf24f812f50582f54cba13b
- Size of remote file:
- 111 MB
- SHA256:
- d4be0109d8f385aca1c4011f89963cdeb35131e8cbb5933dbb7b5cd40870834f
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