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RJuro
/
SciNERTopic

Token Classification
Transformers
PyTorch
Safetensors
bert
Model card Files Files and versions
xet
Community
2

Instructions to use RJuro/SciNERTopic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RJuro/SciNERTopic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="RJuro/SciNERTopic")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("RJuro/SciNERTopic")
    model = AutoModelForTokenClassification.from_pretrained("RJuro/SciNERTopic")
  • Notebooks
  • Google Colab
  • Kaggle
SciNERTopic
876 MB
Ctrl+K
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  • 2 contributors
History: 32 commits
RJuro's picture
RJuro
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
d3b536b almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    4.73 kB
    Update README.md about 3 years ago
  • config.json
    1.3 kB
    Upload BertForTokenClassification over 3 years ago
  • model.safetensors
    437 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    437 MB
    xet
    Upload BertForTokenClassification over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    421 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    222 kB
    Upload with huggingface_hub over 3 years ago