Push model using huggingface_hub.

README.md

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----
-license: mit
----
+---
+license: agpl-3.0
+library_name: ultralytics
+tags:
+- object-detection
+- computer-vision
+- yolov10
+datasets:
+- detection-datasets/coco
+repo_url: https://github.com/THU-MIG/yolov10
+inference: false
+---
+
+### 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 git+https://github.com/THU-MIG/yolov10.git
+```
+
+### Training and validation
+```python
+from ultralytics import YOLOv10
+
+model = YOLOv10.from_pretrained('jameslahm/yolov10n')
+# Training
+model.train(...)
+# after training, one can push to the hub
+model.push_to_hub("your-hf-username/yolov10-finetuned")
+
+# Validation
+model.val(...)
+```
+
+### Inference
+
+Here's an end-to-end example showcasing inference on a cats image:
+
+```python
+from ultralytics import YOLOv10
+
+model = YOLOv10.from_pretrained('jameslahm/yolov10n')
+source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
+model.predict(source=source, save=True)
+```
+which shows:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/628ece6054698ce61d1e7be3/tBwAsKcQA_96HCYQp7BRr.png)
+
+### 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}
+}
+```

config.json

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+{
+  "model": "yolov10n.yaml",
+  "names": {
+    "0": "vita500bottle"
+  },
+  "task": "detect"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b83bbe208ae94698adb0541dfae1744ff2537f451079fafe046140f3b91e7ff8
+size 10800920