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r1char9
/
rubert-tiny2-clf

Text Classification
Transformers
Safetensors
Russian
bert
sentiment-analysis
multi-label-classification
sentiment analysis
rubert
sentiment
tiny
russian
multilabel
classification
prompt-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use r1char9/rubert-tiny2-clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use r1char9/rubert-tiny2-clf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="r1char9/rubert-tiny2-clf")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("r1char9/rubert-tiny2-clf")
    model = AutoModelForSequenceClassification.from_pretrained("r1char9/rubert-tiny2-clf")
  • Notebooks
  • Google Colab
  • Kaggle
rubert-tiny2-clf
120 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
r1char9's picture
r1char9
Update config.json
df6bda9 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.44 kB
    Update README.md almost 2 years ago
  • config.json
    895 Bytes
    Update config.json almost 2 years ago
  • model.safetensors
    117 MB
    xet
    Upload BertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    732 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    2.41 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.49 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    1.08 MB
    Upload tokenizer almost 2 years ago