Instructions to use taicun/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taicun/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="taicun/test1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("taicun/test1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json
Browse files- config.json +4 -0
config.json
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{
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"type_of_model": "OTE_MaskRCNN",
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"converter_type": "ROTATED_DETECTION",
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"model_parameters": {
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{
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"id2label": {
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"0": "pointer",
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"1": "scale"
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},
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"type_of_model": "OTE_MaskRCNN",
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"converter_type": "ROTATED_DETECTION",
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"model_parameters": {
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