Instructions to use Kosuna/segformer-b0-scene-parse-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kosuna/segformer-b0-scene-parse-150 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Kosuna/segformer-b0-scene-parse-150") model = SegformerForSemanticSegmentation.from_pretrained("Kosuna/segformer-b0-scene-parse-150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Kosuna/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/Kosuna/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Kosuna/segformer-b0-scene-parse-150/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Kosuna/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- 236e7b20a5a21d228afd38ffb592ca400c3c529f99de382b4d211a1532bc57bc
- Size of remote file:
- 15.1 MB
- SHA256:
- 90f88a9635006865faa4c460b59712e03b52f68def73fd765e5ee5ce3d687f14
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