Instructions to use Qifa/lada50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qifa/lada50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Qifa/lada50")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Qifa/lada50") model = AutoModelForObjectDetection.from_pretrained("Qifa/lada50") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +3 -3
config.json
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"2": "Rusak"
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},
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"image_size": [
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],
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"initializer_range": 0.02,
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"intermediate_size":
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"label2id": {
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"LABEL_0": 0,
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"Normal": 1,
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"2": "Rusak"
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},
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"image_size": [
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800,
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1333
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],
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"initializer_range": 0.02,
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"intermediate_size": 768,
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"label2id": {
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"LABEL_0": 0,
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"Normal": 1,
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