Image Classification
timm
Hebrew
hebrew-manuscripts
hebrew-paleography
document-image-analysis
script-classification
computational-humanities
digital-humanities
attention-visualization
convnext
Instructions to use beratkurar/hebrew_script_mode_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use beratkurar/hebrew_script_mode_classifier with timm:
import timm model = timm.create_model("hf_hub:beratkurar/hebrew_script_mode_classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be2f378575cb7892380534edf65ece928a84786177b5082392dc48d78d9f913
- Size of remote file:
- 1.05 GB
- SHA256:
- f2225fa09dd26ac823e3a9ea46f71b2855a418dac82c56d172e1c4d991aae59f
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