How to use heig-vd-geo/ImageVote_GridNet-HD_baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="heig-vd-geo/ImageVote_GridNet-HD_baseline")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("heig-vd-geo/ImageVote_GridNet-HD_baseline", device_map="auto")
https://huggingface.co/heig-vd-geo/ImageVote_GridNet-HD_baseline/resolve/main/train/__pycache__/eval.cpython-312.pyc
hf download hf://heig-vd-geo/ImageVote_GridNet-HD_baseline/train/__pycache__/eval.cpython-312.pyc
curl -L -o eval.cpython-312.pyc https://huggingface.co/heig-vd-geo/ImageVote_GridNet-HD_baseline/resolve/main/train/__pycache__/eval.cpython-312.pyc
