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baikalai
/
dbert-sentiment

Text Classification
Transformers
PyTorch
Safetensors
bert
Model card Files Files and versions
xet
Community
1

Instructions to use baikalai/dbert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baikalai/dbert-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="baikalai/dbert-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("baikalai/dbert-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("baikalai/dbert-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
dbert-sentiment
678 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
baikalai's picture
baikalai
add model.safetensors
543bfa1 over 1 year ago
  • .gitattributes
    744 Bytes
    add model.safetensors over 1 year ago
  • README.md
    355 Bytes
    Create README.md almost 5 years ago
  • config.json
    944 Bytes
    pre_trained by aihub sentiment corpus almost 5 years ago
  • model.safetensors
    226 MB
    xet
    add model.safetensors over 1 year ago
  • pytorch_model.bin
    452 MB
    xet
    pre_trained by aihub sentiment corpus almost 5 years ago
  • tokenizer_config.json
    56 Bytes
    pre_trained by aihub sentiment corpus almost 5 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "attrdict.dictionary.AttrDict",
    • "__builtin__.tuple"

    How to fix it?

    1.46 kB
    xet
    pre_trained by aihub sentiment corpus almost 5 years ago
  • vocab.txt
    325 kB
    pre_trained by aihub sentiment corpus almost 5 years ago