Instructions to use microsoft/OmniParser-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/OmniParser-v2.0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/OmniParser-v2.0", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download icon_detect/model.pt from microsoft/OmniParser-v2.0: direct link, hf CLI and curl.
- Browser
- Download file 40.6 MB
-
https://huggingface.co/microsoft/OmniParser-v2.0/resolve/refs%2Fpr%2F21/icon_detect/model.pt
- Command line
-
hf download hf://microsoft/OmniParser-v2.0@refs/pr/21/icon_detect/model.pt
-
curl -L -o model.pt https://huggingface.co/microsoft/OmniParser-v2.0/resolve/refs%2Fpr%2F21/icon_detect/model.pt
40.6 MB
- Xet hash:
- c9ea7e478a1dfcd446c2ca682dff9c844b18122711fca23f5b79b1c161cd2515
- Size of remote file:
- 40.6 MB
- SHA256:
- dab3d4351ad00b035db829909a4db98354d5a90f6990e4ac00222a9a95d4bf57
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