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HooshvareLab
/
bert-fa-base-uncased-sentiment-deepsentipers-binary

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Persian
bert
Model card Files Files and versions
xet
Community
2

Instructions to use HooshvareLab/bert-fa-base-uncased-sentiment-deepsentipers-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HooshvareLab/bert-fa-base-uncased-sentiment-deepsentipers-binary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="HooshvareLab/bert-fa-base-uncased-sentiment-deepsentipers-binary")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-base-uncased-sentiment-deepsentipers-binary")
    model = AutoModelForSequenceClassification.from_pretrained("HooshvareLab/bert-fa-base-uncased-sentiment-deepsentipers-binary")
  • Notebooks
  • Google Colab
  • Kaggle
bert-fa-base-uncased-sentiment-deepsentipers-binary
466 kB
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  • 2 contributors
History: 3 commits
system's picture
system HF Staff
Update test_predictions.txt
06c572d over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • test_predictions.txt
    465 kB
    Update test_predictions.txt over 5 years ago
  • tokenizer_config.json
    62 Bytes
    Update tokenizer_config.json over 5 years ago