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
- Xet hash:
- a10d9e97384806fa11f3b53e4aa001d5a00f864cb6f2cfa30ab138c9f2b47dbe
- Size of remote file:
- 86.7 MB
- SHA256:
- 906a64dc6248dd54c08ad71e84cb223dcc22f2e7f613d3157d471908a5c6256f
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