Image Segmentation
Transformers
Safetensors
PyTorch
English
tren
feature-extraction
vision
image-feature-extraction
region-tokens
dinov3
custom_code
Instructions to use aryaaan12/T-REN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aryaaan12/T-REN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="aryaaan12/T-REN", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aryaaan12/T-REN", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6f90cda341037bb36c91614a10b3d7875943e275eab257d66d1722565f7853b
- Size of remote file:
- 1.2 GB
- SHA256:
- c7fd44e62ca60c1503bc8863f24028dd0a6db55361e17a63a6fc770b6f271b40
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