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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): a1a7ec6
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -100,7 +100,7 @@
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"model_type": "mobilenet_v2",
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"num_channels": 3,
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"input_size": 320,
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"num_detection_tokens":
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"output_stride": 32,
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"semantic_loss_ignore_index": 255,
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"tf_padding": true,
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"model_type": "mobilenet_v2",
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"num_channels": 3,
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"input_size": 320,
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"num_detection_tokens": 33,
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"output_stride": 32,
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"semantic_loss_ignore_index": 255,
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"tf_padding": true,
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