Instructions to use waldr/segformer-b0-scene-parse-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waldr/segformer-b0-scene-parse-150 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("waldr/segformer-b0-scene-parse-150") model = SegformerForSemanticSegmentation.from_pretrained("waldr/segformer-b0-scene-parse-150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from waldr/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/waldr/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://waldr/segformer-b0-scene-parse-150/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/waldr/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- 770a07bd4d06dda7556fe704787304009ca332b5f506ca518e8116064c016fbf
- Size of remote file:
- 15.1 MB
- SHA256:
- 79dfca2c185c80434dd92690352436cf5844dafbcd0abe00f2f2aff1bd9a9625
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.