How to use mcmonkey/clipseg-rd64-refined-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mcmonkey/clipseg-rd64-refined-fp16")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, CLIPSegForImageSegmentation processor = AutoProcessor.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16") model = CLIPSegForImageSegmentation.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16", device_map="auto")
https://huggingface.co/mcmonkey/clipseg-rd64-refined-fp16/resolve/main/vocab.json
hf download hf://mcmonkey/clipseg-rd64-refined-fp16/vocab.json
curl -L -o vocab.json https://huggingface.co/mcmonkey/clipseg-rd64-refined-fp16/resolve/main/vocab.json
