Instructions to use james-emi/darpa_ir-f8v2-person-mask2former-swinb-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use james-emi/darpa_ir-f8v2-person-mask2former-swinb-v4 with Transformers:
# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("james-emi/darpa_ir-f8v2-person-mask2former-swinb-v4") model = Mask2FormerForUniversalSegmentation.from_pretrained("james-emi/darpa_ir-f8v2-person-mask2former-swinb-v4") - Notebooks
- Google Colab
- Kaggle
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