Instructions to use lblod/decide-marked-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lblod/decide-marked-segmentation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lblod/decide-marked-segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from lblod/decide-marked-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/lblod/decide-marked-segmentation/resolve/main/training_args.bin
- Command line
-
hf download hf://lblod/decide-marked-segmentation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lblod/decide-marked-segmentation/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- f201f4a352ff02a4b6c3fd7e14a0478877bd43b6f158afcaf08607fbed5bf9ad
- Size of remote file:
- 6.29 kB
- SHA256:
- 2a0a9284d74e3bcec2e0b46c7ded56f5e065a76cff339554697a8b5e79708942
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