Image Classification
Transformers
Tibetan
dinov3
tibetan
script-classification
paleography
fine-tuned
document-analysis
Eval Results (legacy)
Instructions to use openpecha/tibetan-script-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openpecha/tibetan-script-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="openpecha/tibetan-script-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openpecha/tibetan-script-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| ,dhumri,difficult,drathung,drudring,druring,druthung,khyuyig,multi_scripts,non_tibetan,peri,petsuk,trinyig,tsegdrig,tsugchung,tsumachug,uchen_sugdring,uchen_sugthung,yigchung | |
| dhumri,7,0,0,0,0,5,0,0,0,0,0,0,2,0,0,0,0,0 | |
| difficult,0,22,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0 | |
| drathung,0,0,5,0,1,0,1,0,0,1,1,0,3,1,3,0,0,3 | |
| drudring,0,0,0,8,4,4,2,0,0,1,0,0,0,0,0,0,0,0 | |
| druring,0,0,0,1,16,0,0,0,0,0,0,0,0,0,0,0,0,0 | |
| druthung,6,0,3,3,0,16,0,1,0,2,0,0,0,0,0,0,0,0 | |
| khyuyig,0,2,0,0,0,0,11,0,0,0,0,0,0,0,3,0,0,0 | |
| multi_scripts,0,0,0,2,2,0,0,16,0,2,2,1,1,2,3,1,3,0 | |
| non_tibetan,0,0,0,1,0,0,0,0,27,0,0,0,0,0,0,0,0,0 | |
| peri,0,0,5,0,0,0,0,1,0,56,15,0,11,2,1,0,0,1 | |
| petsuk,0,2,3,2,0,1,0,19,0,44,105,0,30,1,1,0,0,0 | |
| trinyig,0,0,0,0,0,0,0,0,0,1,0,2,0,1,2,0,0,0 | |
| tsegdrig,1,0,16,2,0,1,0,9,0,20,13,2,43,2,0,0,0,3 | |
| tsugchung,0,0,0,0,0,0,0,0,0,0,0,4,0,6,1,0,0,0 | |
| tsumachug,0,0,0,0,1,0,9,1,0,0,0,3,0,0,8,0,0,4 | |
| uchen_sugdring,0,2,0,0,0,0,0,0,1,0,0,0,0,1,0,107,14,0 | |
| uchen_sugthung,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,13,21,0 | |
| yigchung,0,2,0,0,0,0,1,2,0,0,0,3,0,6,4,0,0,6 | |