Update README to inform about transformers versioning

README.md

@@ -10,17 +10,13 @@ pipeline_tag: keypoint-detection
 
 This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
 
-This is a LightGlue variant trained on DISK, with a commecially permissive license, which requires `kornia` to be installed and is usable with transformers with the following lines of code
+This is a LightGlue variant trained on DISK, with a commecially permissive license, which requires `kornia` to be installed and is usable with transformers up to [v5.4.0](https://github.com/huggingface/transformers/pull/45122) with the following lines of code
 ```python
 from transformers import LightGlueForKeypointMatching
 
 model = LightGlueForKeypointMatching.from_pretrained("ETH-CVG/lightglue_disk", trust_remote_code=True)
 ```
 
-_Also, the commit allowing DISK to work with LightGlue is not yet included in a version of transformers, please install transformers from the main branch_
-```
-uv pip install git+https://github.com/huggingface/transformers.git
-```
 
 # LightGlue