Image Segmentation
Transformers
Safetensors
English
calico
text-generation
computer-vision
semantic-segmentation
co-segmentation
part-segmentation
multi-image-reasoning
vision-language
Instructions to use PLAN-Lab/CALICO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PLAN-Lab/CALICO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="PLAN-Lab/CALICO")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("PLAN-Lab/CALICO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "</p>": 32006, | |
| "<bbox>": 32002, | |
| "<im_end>": 32001, | |
| "<im_start>": 32000, | |
| "<p>": 32005, | |
| "<point>": 32003, | |
| "[SEG]": 32004 | |
| } | |