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venkatasagar
/
NER-roBERTa-finetuned

Text Classification
Transformers
PyTorch
English
NER
Named-Enity-Recognition
roberta
token-classification
document-understanding
resume-parsing
cv-parsing
custom-ner
sliding-window-inference
huggingface
spaCy
pdf-extraction
docx-extraction
information-extraction
text-mining
job-application-automation
structured-data-extraction
Model card Files Files and versions
xet
Community

Instructions to use venkatasagar/NER-roBERTa-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use venkatasagar/NER-roBERTa-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="venkatasagar/NER-roBERTa-finetuned")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("venkatasagar/NER-roBERTa-finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NER-roBERTa-finetuned
427 MB
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  • 1 contributor
History: 5 commits
venkatasagar's picture
venkatasagar
Update README.md
e5bc1ae verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.64 kB
    Update README.md over 1 year ago
  • fine_tuned_roberta-20250524T103612Z-1-001.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    427 MB
    xet
    Upload fine_tuned_roberta-20250524T103612Z-1-001.zip over 1 year ago