Instructions to use HanzhiZhang/lowResSegModel_Vehicle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanzhiZhang/lowResSegModel_Vehicle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="HanzhiZhang/lowResSegModel_Vehicle")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("HanzhiZhang/lowResSegModel_Vehicle") model = AutoModelForMaskGeneration.from_pretrained("HanzhiZhang/lowResSegModel_Vehicle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload model
Verified signature6bf75fb
-
Upload model
Verified signaturefec39c8
-
Upload model
Verified signature32c4a6f
-
Upload model
Verified signature6207304 -
Upload model
Verified signatureb85e7fa
-
Upload model
Verified signature4e3fd35 -
initial commit
Verified signaturef4f734b