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procit007
/
fine_tuned_robbert

Text Classification
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use procit007/fine_tuned_robbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use procit007/fine_tuned_robbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="procit007/fine_tuned_robbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("procit007/fine_tuned_robbert")
    model = AutoModelForSequenceClassification.from_pretrained("procit007/fine_tuned_robbert")
  • Notebooks
  • Google Colab
  • Kaggle
fine_tuned_robbert
471 MB
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  • 1 contributor
History: 3 commits
procit007's picture
procit007
Upload RobertaForSequenceClassification
807cd72 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload tokenizer about 1 year ago
  • config.json
    912 Bytes
    Upload RobertaForSequenceClassification about 1 year ago
  • merges.txt
    383 kB
    Upload tokenizer about 1 year ago
  • model.safetensors
    467 MB
    xet
    Upload RobertaForSequenceClassification about 1 year ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    2.87 MB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.25 kB
    Upload tokenizer about 1 year ago
  • vocab.json
    653 kB
    Upload tokenizer about 1 year ago