Keypoint Detection
Transformers
PyTorch
Safetensors
superpoint
feature-extraction
vision
image-matching
Instructions to use magic-leap-community/superpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magic-leap-community/superpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("magic-leap-community/superpoint") model = AutoModel.from_pretrained("magic-leap-community/superpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from magic-leap-community/superpoint: direct link, hf CLI and curl.
- Browser
- Download file 5.21 MB
-
https://huggingface.co/magic-leap-community/superpoint/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://magic-leap-community/superpoint/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/magic-leap-community/superpoint/resolve/main/pytorch_model.bin
5.21 MB
- Xet hash:
- 45484436ccd5183814ae8fdf7180c3b33bec69304f15f94d92ca68ba60f8f04b
- Size of remote file:
- 5.21 MB
- SHA256:
- ee46dc3eaf52d1f65d15a4953f30573526e34031a4c26268fa3867614ef1b65c
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