How to use mccaly/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mccaly/test2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, UperNetForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mccaly/test2") model = UperNetForSemanticSegmentation.from_pretrained("mccaly/test2", device_map="auto")
https://huggingface.co/mccaly/test2/resolve/d87478acbe51f894c33d2124da3894096a6bc2cd/pytorch_model/data/229
hf download hf://mccaly/test2@d87478acbe51f894c33d2124da3894096a6bc2cd/pytorch_model/data/229
curl -L -o 229 https://huggingface.co/mccaly/test2/resolve/d87478acbe51f894c33d2124da3894096a6bc2cd/pytorch_model/data/229
