Instructions to use mattmdjaga/segformer_b2_clothes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattmdjaga/segformer_b2_clothes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mattmdjaga/segformer_b2_clothes")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mattmdjaga/segformer_b2_clothes") model = SegformerForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b2_clothes") - Inference
- Notebooks
- Google Colab
- Kaggle
Request: DOI
hi i a writing my dissertation and was hoping to cite your work. could i have the DOI for this image Segmentation please?
Thank you,
Moriah
This doesn't have a doi, but GPT recommended this if you're using overleaf/latex:
@online {mattmdjaga_segformer_b2_clothes,
author = {Mateusz Dziemian},
title = {SegFormer B2 Clothes},
year = {2023},
url = {https://huggingface.co/mattmdjaga/segformer_b2_clothes},
urldate = {2025-04-30}
}
it was also previously cited here https://arxiv.org/pdf/2404.04356v1 as [22] and that i think is something like:
@online {dziemian2023segformer,
author = {Mateusz Dziemian},
title = {mattmdjaga/segformer_b2_clothes -- Hugging Face},
year = {2023},
url = {https://huggingface.co/mattmdjaga/segformer_b2_clothes},
urldate = {2025-04-30}
}
or
@misc {dziemian2023segformer,
author = {Mateusz Dziemian},
title = {mattmdjaga/segformer_b2_clothes -- Hugging Face},
year = {2023},
howpublished = {\url{https://huggingface.co/mattmdjaga/segformer_b2_clothes}}
}
Thank you very much!