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Inference and fine-tuning examples for vision models from 🤗 Transformers
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qubvel/transformers-notebooks
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| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
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| Model | Task | Notebooks | Open in Colab |
|---|---|---|---|
| RT-DETRv2 | Object Detection | Inference Fine-tuning |  |
| DAB-DETR | Object Detection | Inference Fine-tuning | |
| D-Fine | Object Detection | Inference Fine-tuning Tracking | |
| DepthPro | Depth Estimation | Inference | |
| PromptDepth | Depth Estimation | Inference | |
| DistillAnyDepth | Depth Estimation | Inference | |
| SuperGlue | Keypoint Matching | Inference | |
| ViTPose | Pose Estimation | Inference Inference (rt-pose) Optimization | |
| SigLIP 2 | Zero-shot image classification | Inference | |
| MM Grounding DINO | Zero-shot object detection | Inference | |
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Inference and fine-tuning examples for vision models from 🤗 Transformers
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