Instructions to use crom87/segmentation_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crom87/segmentation_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="crom87/segmentation_test2")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("crom87/segmentation_test2") model = AutoModelForMaskGeneration.from_pretrained("crom87/segmentation_test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48c44c18f1ab0a56f56e5ff6b6b76746056402c4b46fd87c825ee82710280562
- Size of remote file:
- 375 MB
- SHA256:
- 9ec8c83b19450efe0dafd707539d7bec8408c9bb7a8bc03c11ca160879096762
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