Push model using huggingface_hub.

README.md

@@ -1,42 +1,9 @@
 ---
-license: agpl-3.0
 tags:
-- object-detection
-- computer-vision
-- yolov10
-datasets:
-- detection-datasets/coco
+- pytorch_model_hub_mixin
+- model_hub_mixin
 ---
 
-### Model Description
-[YOLOv10: Real-Time End-to-End Object Detection](https://arxiv.org/abs/2405.14458v1)
-
-- arXiv: https://arxiv.org/abs/2405.14458v1
-- github: https://github.com/THU-MIG/yolov10
-
-### Installation
-```
-pip install supervision git+https://github.com/THU-MIG/yolov10.git
-```
-
-### Yolov10 Inference
-```python
-from ultralytics import YOLOv10
-import supervision as sv
-import cv2
-
-IMAGE_PATH = 'dog.jpeg'
-
-model = YOLOv10.from_pretrained('jameslahm/yolov10m')
-model.predict(IMAGE_PATH, show=True)
-```
-
-### BibTeX Entry and Citation Info
- ```
-@article{wang2024yolov10,
-  title={YOLOv10: Real-Time End-to-End Object Detection},
-  author={Wang, Ao and Chen, Hui and Liu, Lihao and Chen, Kai and Lin, Zijia and Han, Jungong and Ding, Guiguang},
-  journal={arXiv preprint arXiv:2405.14458},
-  year={2024}
-}
-```
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: [More Information Needed]
+- Docs: [More Information Needed]

config.json

@@ -1,3 +1,7 @@
 {
-  "model": "yolov10m.yaml"
+  "args": null,
+  "model": "yolov10m.pt",
+  "names": null,
+  "task": null,
+  "verbose": false
 }