Token Classification
Transformers
Safetensors
English
roberta
sequence-labeling
political-science
social-groups
parliamentary-debates
Instructions to use maxwlnd/roberta_group_mention_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxwlnd/roberta_group_mention_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="maxwlnd/roberta_group_mention_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("maxwlnd/roberta_group_mention_detector") model = AutoModelForTokenClassification.from_pretrained("maxwlnd/roberta_group_mention_detector") - Notebooks
- Google Colab
- Kaggle
MaximilianWeiland commited on
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Parent(s): 52b4e00
update model card
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README.md
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# RoBERTa Group Mention Detector
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A RoBERTa-base token classification model fine-tuned to detect **social group mentions** in political text.
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This model is part of the [`group-appeal-detector`](https://github.com/MaximilianWeiland/group_appeal_detector) package, which also provides stance classification and mention clustering.
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# RoBERTa Group Mention Detector
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A RoBERTa-base token classification model fine-tuned to detect **social group mentions** in political text.
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This model is part of the [`group-appeal-detector`](https://github.com/MaximilianWeiland/group_appeal_detector) package, which also provides stance classification and mention clustering.
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