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cointegrated
/
rubert-tiny-sentiment-balanced

Text Classification
Transformers
PyTorch
Safetensors
Russian
bert
russian
classification
sentiment
multiclass
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use cointegrated/rubert-tiny-sentiment-balanced with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="cointegrated/rubert-tiny-sentiment-balanced")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cointegrated/rubert-tiny-sentiment-balanced")
    model = AutoModelForSequenceClassification.from_pretrained("cointegrated/rubert-tiny-sentiment-balanced")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
rubert-tiny-sentiment-balanced
95 MB
Ctrl+K
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  • 2 contributors
History: 4 commits
cointegrated's picture
cointegrated
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
e0679dd about 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    2.5 kB
    Create README.md over 4 years ago
  • config.json
    884 Bytes
    The first model over 4 years ago
  • model.safetensors
    47.2 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    47.2 MB
    xet
    The first model over 4 years ago
  • special_tokens_map.json
    112 Bytes
    The first model over 4 years ago
  • tokenizer.json
    468 kB
    The first model over 4 years ago
  • tokenizer_config.json
    377 Bytes
    The first model over 4 years ago
  • vocab.txt
    241 kB
    The first model over 4 years ago