Push model using huggingface_hub.

README.md

@@ -2,39 +2,9 @@
 tags:
 - model_hub_mixin
 - pytorch_model_hub_mixin
-- computer-vision
-- 3d-reconstruction
-- multi-view-stereo
-- depth-estimation
-- camera-pose
-- covisibility
-- mapanything
-license: cc-by-nc-4.0
-language:
-- en
-pipeline_tag: image-to-3d
 ---
 
-## Overview
-
-MapAnything is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D geometry of a scene given various types of modalities as inputs. A single feed-forward model supports over 12 different 3D reconstruction tasks including multi-image sfm, multi-view stereo, monocular metric depth estimation, registration, depth completion and more.
-
-This is the Apache 2.0 variant of the model. Latest release on Dec 18th 2025.
-
-## Quick Start
-
-Please refer to our Github Repo: https://github.com/facebookresearch/map-anything
-
-## Citation
-
-If you find our repository useful, please consider giving it a star ⭐ and citing our paper in your work:
-
-```bibtex
-@inproceedings{keetha2026mapanything,
-  title={{MapAnything}: Universal Feed-Forward Metric 3D Reconstruction},
-  author={Keetha, Nikhil and M{\"u}ller, Norman and Sch{\"o}nberger, Johannes and Porzi, Lorenzo and Zhang, Yuchen and Fischer, Tobias and Knapitsch, Arno and Zauss, Duncan and Weber, Ethan and Antunes, Nelson and others},
-  booktitle={International Conference on 3D Vision (3DV)},
-  year={2026},
-  organization={IEEE}
-}
-```
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Code: [More Information Needed]
+- Paper: [More Information Needed]
+- Docs: [More Information Needed]

config.json

@@ -2,7 +2,7 @@
   "encoder_config": {
     "data_norm_type": "dinov2",
     "encoder_str": "dinov2",
-    "gradient_checkpointing": true,
+    "gradient_checkpointing": false,
     "keep_first_n_layers": 24,
     "name": "dinov2_giant_24_layers",
     "norm_returned_features": false,

model.safetensors

@@ -1,3 +1,3 @@
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