Instructions to use guimCC/segformer-v0-gta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guimCC/segformer-v0-gta with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("guimCC/segformer-v0-gta") model = SegformerForSemanticSegmentation.from_pretrained("guimCC/segformer-v0-gta") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
nvidia/mit-b0 fine tuned on the gta5 dataset prepared for semantic segmentation tasks. Specifically, using citiscape's classes.
Model Details
Model Description
- Developed by: Guim Casadellà Cors
- Model type: SegFormer
- Finetuned from model : nvidia/mit-b0
Model Sources [optional]
- Repository: Github training script
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
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