Image Segmentation
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
vision
segmentation
text-generation-inference
Instructions to use Ricky06662/Seg-Zero-7B-Best-on-ReasonSegTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ricky06662/Seg-Zero-7B-Best-on-ReasonSegTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Ricky06662/Seg-Zero-7B-Best-on-ReasonSegTest")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Ricky06662/Seg-Zero-7B-Best-on-ReasonSegTest") model = AutoModelForImageTextToText.from_pretrained("Ricky06662/Seg-Zero-7B-Best-on-ReasonSegTest") - Notebooks
- Google Colab
- Kaggle