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:
# 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 tokenizer.json from lblod/decide-marked-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/lblod/decide-marked-segmentation/resolve/main/tokenizer.json
- Command line
-
hf download hf://lblod/decide-marked-segmentation/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lblod/decide-marked-segmentation/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- fa66c8c017ade193f7cc37a2b421a1fc461563e803f179a496f7bdda2ec42c21
- Size of remote file:
- 33.4 MB
- SHA256:
- 4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
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