qubvel/transformers-notebooks
Inference and fine-tuning examples for vision models from 🤗 Transformers
This project offers practical examples for working with advanced computer vision models. It helps machine learning engineers and researchers implement tasks like identifying objects in images, understanding depth, or recognizing human poses. You provide your images and the tool outputs detailed visual analysis, such as bounding boxes for objects, depth maps, or keypoints for human figures.
165 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher looking for ready-to-use examples to apply or customize state-of-the-art vision models for object detection, depth estimation, or pose estimation tasks.
Not ideal if you are looking for a complete, production-ready application or don't have experience with machine learning frameworks and Python.
Stars
165
Forks
27
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Aug 07, 2025
Commits (30d)
0
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