Instructions to use MohamedKhayat/fruit-detector-dfine-large-obj365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohamedKhayat/fruit-detector-dfine-large-obj365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="MohamedKhayat/fruit-detector-dfine-large-obj365")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("MohamedKhayat/fruit-detector-dfine-large-obj365") model = AutoModelForObjectDetection.from_pretrained("MohamedKhayat/fruit-detector-dfine-large-obj365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Base Model:** ustc-community/dfine-large-obj365
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- **Architecture:** dfine_large_obj365
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- **Task:** Object Detection
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- **mAP@50 Score:** 0.6448
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- **Input Size:** 640x640
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## Classes
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- **Base Model:** ustc-community/dfine-large-obj365
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- **Architecture:** dfine_large_obj365
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- **Task:** Object Detection
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- **mAP@50:95 Score:** 0.6448
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- **Input Size:** 640x640
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## Classes
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