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tner
/
bert-large-tweetner7-2020

Token Classification
Transformers
PyTorch
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use tner/bert-large-tweetner7-2020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tner/bert-large-tweetner7-2020 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tner/bert-large-tweetner7-2020")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tner/bert-large-tweetner7-2020")
    model = AutoModelForTokenClassification.from_pretrained("tner/bert-large-tweetner7-2020")
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-tweetner7-2020
1.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model
343d828 over 2 years ago
  • eval
    model update almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    8.1 kB
    Librarian Bot: Add base_model information to model over 2 years ago
  • config.json
    13.4 kB
    model update about 4 years ago
  • pytorch_model.bin
    1.33 GB
    xet
    model update about 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    669 kB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    445 Bytes
    model update about 4 years ago
  • trainer_config.json
    337 Bytes
    model update almost 4 years ago
  • vocab.txt
    213 kB
    add tokenizer about 4 years ago