Instructions to use MnLgt/yolo-human-parse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MnLgt/yolo-human-parse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MnLgt/yolo-human-parse") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MnLgt/yolo-human-parse", dtype="auto") - Notebooks
- Google Colab
- Kaggle
new app
#1
by leonelhs - opened
Hello,
I’ve developed an application using your model, which you can find here:
https://huggingface.co/spaces/leonelhs/human-parser
Please take a look at the README section and let me know if you’d like me to include a proper citation or specific attribution for your work.
Best regards,
Leonel