Instructions to use diegokauer/conditional-detr-coe-int with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diegokauer/conditional-detr-coe-int with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="diegokauer/conditional-detr-coe-int")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("diegokauer/conditional-detr-coe-int") model = AutoModelForObjectDetection.from_pretrained("diegokauer/conditional-detr-coe-int") - Notebooks
- Google Colab
- Kaggle
Commit ·
e36f407
1
Parent(s): 665fa41
Upload ConditionalDetrForObjectDetection
Browse files- config.json +2 -2
config.json
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0":
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"1":
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0": "Propuesta",
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"1": "Etapa"
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},
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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