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:
- 1068839ff94e87499b905760a9b25dd4b83ddd128dd16583fdbc278f94697b05
- Size of remote file:
- 496 MB
- SHA256:
- 766ce55bbedf906c3cb0fd0e6a97ca6f6ce67df06e34a623a0a40ceaca3a031e
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