Image Classification
Transformers
Tibetan
tibetan
uchen
ume
script-classification
dinov3
fine-tuned
Eval Results (legacy)
Instructions to use openpecha/uchen-ume-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openpecha/uchen-ume-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="openpecha/uchen-ume-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/uchen-ume-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 418 Bytes
7d64bbf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"variant": "without_preprocess",
"experiment": "uchen_ume_binary",
"best_checkpoint": "best_stage_c_last_blocks.pt",
"val_macro_f1": 0.7705722639933166,
"val_accuracy": 0.8461538461538461,
"epoch": 3,
"test_metrics": {
"loss": 0.48820294297059763,
"accuracy": 0.8073817762399077,
"macro_f1": 0.7078823289680483,
"weighted_f1": 0.8394339697286689,
"auc_roc": 0.9698679503367003
}
} |