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
Is this model equal to `Ricky06662/Seg-Zero-7B`?
#1
by tydu - opened
They are just different checkpoints with different training steps. You can use either of them.
They are just different checkpoints with different training steps. You can use either of them.
If the models are different, they should have different SHA256. After I downloaded two models, I found the MD5 is also equal. I appreciate you double-checking.

