| 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 |
forked from qubvel/transformers-notebooks
-
Notifications
You must be signed in to change notification settings - Fork 0
Inference and fine-tuning examples for vision models from 🤗 Transformers
License
lexiyutou/transformers-notebooks
Â
Â
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
 |  | |||
 |  | |||
 |  | |||
 |  | |||
 |  | |||
Repository files navigation
About
Inference and fine-tuning examples for vision models from 🤗 Transformers
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Jupyter Notebook 100.0%