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maxwlnd
/
roberta_group_mention_detector

Token Classification
Transformers
Safetensors
English
roberta
sequence-labeling
political-science
social-groups
parliamentary-debates
Model card Files Files and versions
xet
Community
6

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
roberta_group_mention_detector
993 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
5a2c64d verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • config_roberta_group_mention_detector.json
    157 Bytes
    changed vocab size 3 months ago
  • model.safetensors
    496 MB
    xet
    Adding `safetensors` variant of this model 3 months ago
  • pytorch_model.bin
    496 MB
    xet
    Rename model weights to pytorch_model.bin 3 months ago