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poyum
/
test_discut

Token Classification
Transformers
Safetensors
xlm-roberta
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use poyum/test_discut with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="poyum/test_discut", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("poyum/test_discut", trust_remote_code=True)
    model = AutoModelForTokenClassification.from_pretrained("poyum/test_discut", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
test_discut
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  • 1 contributor
History: 5 commits
poyum's picture
poyum
modif config for remote code
dfe6c00 8 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 8 months ago
  • README.md
    5.17 kB
    Upload XLMRobertaForTokenClassification 8 months ago
  • config.json
    887 Bytes
    modif config for remote code 8 months ago
  • disrpt_eval_2025.py
    17.5 kB
    adding pipeline to model repo 8 months ago
  • disrpt_io.py
    34 kB
    adding pipeline to model repo 8 months ago
  • eval.py
    25.8 kB
    adding pipeline to model repo 8 months ago
  • model.safetensors
    2.24 GB
    xet
    Upload XLMRobertaForTokenClassification 8 months ago
  • pipeline.py
    5.1 kB
    adding pipeline to model repo 8 months ago
  • reading.py
    17.5 kB
    adding pipeline to model repo 8 months ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer 8 months ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.21 kB
    Upload tokenizer 8 months ago
  • utils.py
    6.65 kB
    adding pipeline to model repo 8 months ago