Instructions to use debela-arg/argument_relation_identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debela-arg/argument_relation_identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="debela-arg/argument_relation_identifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("debela-arg/argument_relation_identifier") model = AutoModelForTokenClassification.from_pretrained("debela-arg/argument_relation_identifier") - Notebooks
- Google Colab
- Kaggle
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Stab, Christian; Gurevych, Iryna. Argument Annotated Essays. (2014). License description. Argument Mining, 409-06 Informationssysteme, Prozess- und Wissensmanagement, 004. Technical University of Darmstadt. https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2421
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