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
- Xet hash:
- f1fcbe9fa82271f5fb88059af9e05a0590bd75412b9f136cc8c6d32ac04dcc1d
- Size of remote file:
- 496 MB
- SHA256:
- 88d3477b103cb87a8cce1d7c1533c34d611c8fa02306e768055eb00e9f187404
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