Instructions to use danielmartinec/segformer-b0-scene-parse-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielmartinec/segformer-b0-scene-parse-150 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("danielmartinec/segformer-b0-scene-parse-150") model = SegformerForSemanticSegmentation.from_pretrained("danielmartinec/segformer-b0-scene-parse-150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from danielmartinec/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/danielmartinec/segformer-b0-scene-parse-150/resolve/main/training_args.bin
- Command line
-
hf download hf://danielmartinec/segformer-b0-scene-parse-150/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/danielmartinec/segformer-b0-scene-parse-150/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 4fa40bf93142290968abbb18641eac786b5e4f0aa9b312464508eeccdb46d0a2
- Size of remote file:
- 4.66 kB
- SHA256:
- 60bd4a2de8adfc04eb297c8514a9d87d4fc52b4cf6f194a10082f070295aa06c
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