Keypoint Detection
Transformers
Safetensors
LightGlue
keypoint-matching
model_hub_mixin
pytorch_model_hub_mixin
Instructions to use ETH-CVG/lightglue_disk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ETH-CVG/lightglue_disk with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("ETH-CVG/lightglue_disk") model = AutoModelForKeypointMatching.from_pretrained("ETH-CVG/lightglue_disk") - Notebooks
- Google Colab
- Kaggle
Update README to inform about transformers versioning
#2
by AntonV HF Staff - opened
Hey there,
we have to remove the remote code execution version in the most recent versions due to security concerns. It shouldn't have made it into the library as remote code cannot be maintained or reviewed by us in full capacity. This means that it will work with previous versions but not the following ones. Hope you understand 😄
Cheers,
Anton
stevenbucaille changed pull request status to merged