How to use cmes-deepvision/ACR-instance-segmentaiton-refinement-v1.0.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="cmes-deepvision/ACR-instance-segmentaiton-refinement-v1.0.0")
# Load model directly from transformers import AutoImageProcessor, OpenVocabMaskPromptMaskDINO processor = AutoImageProcessor.from_pretrained("cmes-deepvision/ACR-instance-segmentaiton-refinement-v1.0.0") model = OpenVocabMaskPromptMaskDINO.from_pretrained("cmes-deepvision/ACR-instance-segmentaiton-refinement-v1.0.0", device_map="auto")
How to use cmes-deepvision/ACR-instance-segmentaiton-refinement-v1.0.0 with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
