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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("ETH-CVG/lightglue_disk") model = AutoModelForKeypointMatching.from_pretrained("ETH-CVG/lightglue_disk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add config
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -37,6 +37,6 @@
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"num_attention_heads": 4,
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"num_hidden_layers": 9,
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"num_key_value_heads": 4,
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-
"transformers_version": "4.
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"width_confidence": 0.99
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}
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"num_attention_heads": 4,
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"num_hidden_layers": 9,
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"num_key_value_heads": 4,
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+
"transformers_version": "4.54.0.dev0",
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"width_confidence": 0.99
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}
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