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JunYK
/
roberta-base-classification-Multi-Full

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

Instructions to use JunYK/roberta-base-classification-Multi-Full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JunYK/roberta-base-classification-Multi-Full with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JunYK/roberta-base-classification-Multi-Full")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JunYK/roberta-base-classification-Multi-Full")
    model = AutoModelForSequenceClassification.from_pretrained("JunYK/roberta-base-classification-Multi-Full")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-classification-Multi-Full
444 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
JunYK's picture
JunYK
Upload tokenizer
abc21b2 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload RobertaForSequenceClassification about 1 year ago
  • config.json
    1.37 kB
    Upload RobertaForSequenceClassification about 1 year ago
  • model.safetensors
    443 MB
    xet
    Upload RobertaForSequenceClassification about 1 year ago
  • special_tokens_map.json
    971 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    752 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.31 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    248 kB
    Upload tokenizer about 1 year ago