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sismetanin
/
sbert-ru-sentiment-krnd

Text Classification
Transformers
PyTorch
JAX
Russian
bert
sentiment analysis
Russian
SBERT-Large
Model card Files Files and versions
xet
Community
1

Instructions to use sismetanin/sbert-ru-sentiment-krnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sismetanin/sbert-ru-sentiment-krnd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sismetanin/sbert-ru-sentiment-krnd")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sismetanin/sbert-ru-sentiment-krnd")
    model = AutoModelForSequenceClassification.from_pretrained("sismetanin/sbert-ru-sentiment-krnd", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sbert-ru-sentiment-krnd
3.42 GB
Ctrl+K
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  • 2 contributors
History: 6 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
ac271b7 over 5 years ago
  • .gitattributes
    736 Bytes
    allow flax over 5 years ago
  • README.md
    4.96 kB
    Update README.md over 5 years ago
  • config.json
    1.1 kB
    initial commit over 5 years ago
  • flax_model.msgpack
    1.71 GB
    xet
    upload flax model over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    1.71 GB
    xet
    initial commit over 5 years ago
  • special_tokens_map.json
    112 Bytes
    initial commit over 5 years ago
  • tokenizer_config.json
    408 Bytes
    initial commit over 5 years ago
  • vocab.txt
    1.78 MB
    initial commit over 5 years ago