Instructions to use sthui/SimpleSeg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sthui/SimpleSeg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sthui/SimpleSeg", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sthui/SimpleSeg", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02fde0d6b97f8469ce2ae81b9d498d00b430e0ea852e652a7507e3a497d533ea
- Size of remote file:
- 2.8 MB
- SHA256:
- b6c497a7469b33ced9c38afb1ad6e47f03f5e5dc05f15930799210ec050c5103
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