Instructions to use zuppif/maskformer-swin-small-ade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuppif/maskformer-swin-small-ade with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="zuppif/maskformer-swin-small-ade")# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("zuppif/maskformer-swin-small-ade") model = MaskFormerForInstanceSegmentation.from_pretrained("zuppif/maskformer-swin-small-ade", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- object-detection
- COCO
- YOLO
- Darknet
model-index:
- name: moon
results:
- metrics:
- type: mAP
value: 1
name: mAP
task:
type: object-detection
name: object-detection
dataset:
name: COCO
type: COCO