Token Classification
Transformers
PyTorch
Safetensors
English
roberta
clause-segmentation
discourse
situation-entities
Instructions to use BabakScrapes/disco-clause-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BabakScrapes/disco-clause-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BabakScrapes/disco-clause-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BabakScrapes/disco-clause-segmenter") model = AutoModelForTokenClassification.from_pretrained("BabakScrapes/disco-clause-segmenter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcf5985745121dcd3198340b925ff5fc873f4f00cb6f69c83819485384e05308
- Size of remote file:
- 3.39 kB
- SHA256:
- af2ab12a1d9c72d6fedfd51aae32ee599bdfe2a9f7e1fb85470f0eda6ebec841
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