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
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,8 +12,6 @@ tags:
|
|
| 12 |
- fine-tuned
|
| 13 |
- document-analysis
|
| 14 |
base_model: facebook/dinov3-vits16-pretrain-lvd1689m
|
| 15 |
-
datasets:
|
| 16 |
-
- openpecha/tibetan-script-images
|
| 17 |
metrics:
|
| 18 |
- f1
|
| 19 |
- accuracy
|
|
|
|
| 12 |
- fine-tuned
|
| 13 |
- document-analysis
|
| 14 |
base_model: facebook/dinov3-vits16-pretrain-lvd1689m
|
|
|
|
|
|
|
| 15 |
metrics:
|
| 16 |
- f1
|
| 17 |
- accuracy
|