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

- Xet hash:
- cc641a769b10b5b8ca440d90f5387ed2e4a8c242b426800e7dd28798e18cedac
- Size of remote file:
- 169 kB
- SHA256:
- 8685c8b1287e0816eea11ed8a5b2959be657e296af1201ef444c51f9fbc1f7dd
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