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 training_args.bin from d29005132/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/d29005132/segformer-b0-scene-parse-150/resolve/main/training_args.bin
- Command line
-
hf download hf://d29005132/segformer-b0-scene-parse-150/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/d29005132/segformer-b0-scene-parse-150/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- e997083aaeb11f4dc164b896a49aa7da99bf39fe46464a07af8afe2ce02a15c2
- Size of remote file:
- 3.96 kB
- SHA256:
- 31fbaabea08fe87d45988e8f843b6ece9a79fea91e592ee3c004a8c8280ca54a
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