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oiisa
/
rubert-tiny-classifier

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

Instructions to use oiisa/rubert-tiny-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use oiisa/rubert-tiny-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="oiisa/rubert-tiny-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("oiisa/rubert-tiny-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("oiisa/rubert-tiny-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
rubert-tiny-classifier
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  • 1 contributor
History: 3 commits
oiisa's picture
oiisa
Upload tokenizer
cd4feff verified about 17 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 17 hours ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification about 17 hours ago
  • config.json
    833 Bytes
    Upload BertForSequenceClassification about 17 hours ago
  • model.safetensors
    117 MB
    xet
    Upload BertForSequenceClassification about 17 hours ago
  • tokenizer.json
    2.41 MB
    Upload tokenizer about 17 hours ago
  • tokenizer_config.json
    375 Bytes
    Upload tokenizer about 17 hours ago