Instructions to use Violoop/OmniParser-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Violoop/OmniParser-v2.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Violoop/OmniParser-v2.0", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9ea7e478a1dfcd446c2ca682dff9c844b18122711fca23f5b79b1c161cd2515
- Size of remote file:
- 40.6 MB
- SHA256:
- dab3d4351ad00b035db829909a4db98354d5a90f6990e4ac00222a9a95d4bf57
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