Instructions to use d29005132/segformer-b0-scene-parse-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d29005132/segformer-b0-scene-parse-150 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("d29005132/segformer-b0-scene-parse-150") model = SegformerForSemanticSegmentation.from_pretrained("d29005132/segformer-b0-scene-parse-150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from d29005132/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/d29005132/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://d29005132/segformer-b0-scene-parse-150/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/d29005132/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- 62ec538ff8c7309b7557d10ccba0378d27e2d14773bae7fb20014677ac9b936d
- Size of remote file:
- 15.1 MB
- SHA256:
- 02840f93e3a2f6dcd6d1617f2505c119cbb71832b340f20087968530eb33744f
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