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mrm8488
/
codebert-base-finetuned-stackoverflow-ner

Token Classification
Transformers
PyTorch
JAX
English
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use mrm8488/codebert-base-finetuned-stackoverflow-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrm8488/codebert-base-finetuned-stackoverflow-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mrm8488/codebert-base-finetuned-stackoverflow-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert-base-finetuned-stackoverflow-ner")
    model = AutoModelForTokenClassification.from_pretrained("mrm8488/codebert-base-finetuned-stackoverflow-ner")
  • Notebooks
  • Google Colab
  • Kaggle
codebert-base-finetuned-stackoverflow-ner
498 MB
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  • 2 contributors
History: 15 commits
system's picture
system HF Staff
Update eval_results.txt
07ea68f over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • config.json
    3.18 kB
    Update config.json over 5 years ago
  • eval_results.txt
    213 Bytes
    Update eval_results.txt over 5 years ago
  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    496 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • special_tokens_map.json
    150 Bytes
    Update special_tokens_map.json over 5 years ago
  • test_predictions.txt
    380 kB
    Update test_predictions.txt over 5 years ago
  • test_results.txt
    171 Bytes
    Update test_results.txt over 5 years ago
  • tokenizer_config.json
    1.18 kB
    Update tokenizer_config.json over 5 years ago
  • vocab.json
    899 kB
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