Instructions to use HichTala/DiffusionDet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HichTala/DiffusionDet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="HichTala/DiffusionDet", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HichTala/DiffusionDet", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## 🔧 Uses
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You can load and use the model with Hugging Face's transformers or via the original repository.
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- 📦 [Original GitHub repo](github.com/pierlj/fsdiffusiondet)
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- 🚀 [Few-shot cross-domain adaptation repo](https://github.com/ShoufaChen/DiffusionDet)
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## 🔧 Uses
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You can load and use the model with Hugging Face's 🤗 `transformers` or via the original repository.
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- 📦 [Original GitHub repo](github.com/pierlj/fsdiffusiondet)
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- 🚀 [Few-shot cross-domain adaptation repo](https://github.com/ShoufaChen/DiffusionDet)
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