Instructions to use Transformers123/robo50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/robo50 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/robo50") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/robo50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Transformers123/robo50: direct link, hf CLI and curl.
- Browser
- Download file 14.9 MB
-
https://huggingface.co/Transformers123/robo50/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Transformers123/robo50/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Transformers123/robo50/resolve/main/pytorch_model.bin
14.9 MB
- Xet hash:
- e8497098eb392e0b36a640bf366492bf9f1284daddde0b3437aff9d6a6928efb
- Size of remote file:
- 14.9 MB
- SHA256:
- 25d401dd218c486c440385f867102232496324976d98b83ba8fd623cdbbf75ab
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