Instructions to use SpotLab/YOLOv8Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpotLab/YOLOv8Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SpotLab/YOLOv8Detection")# Load model directly from transformers import Yolov8ForObjectDetection model = Yolov8ForObjectDetection.from_pretrained("SpotLab/YOLOv8Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jaime García Villena commited on
Commit ·
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Parent(s): 3005c67
move scripts and create README
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README.md
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---
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tags:
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- vision
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- object-detection
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license: openrail
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coco_best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4fc2c1b6efa5be741bb0f5bf0acaef2370396eddd69e281ec6cf7a6f2b3c91b
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size 6554862
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coco_labels.json → scripts/coco_labels.json
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test_yolob8_tflite.py → scripts/test_yolob8_tflite.py
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yolo_export.py → scripts/yolo_export.py
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yolo_run.py → scripts/yolo_run.py
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yolov8n.onnx → scripts/yolov8n.onnx
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