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radlab
/
polarity-3c

Text Classification
Transformers
Safetensors
Polish
roberta
news
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use radlab/polarity-3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use radlab/polarity-3c with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="radlab/polarity-3c")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("radlab/polarity-3c")
    model = AutoModelForSequenceClassification.from_pretrained("radlab/polarity-3c")
  • Notebooks
  • Google Colab
  • Kaggle
polarity-3c
1.76 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
pkedzia's picture
pkedzia
Update README.md
91d3d1a verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    3.99 kB
    Update README.md 12 months ago
  • added_tokens.json
    23 Bytes
    Upload 7 files 12 months ago
  • config.json
    919 Bytes
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  • model.safetensors
    1.74 GB
    xet
    Upload 7 files 12 months ago
  • special_tokens_map.json
    964 Bytes
    Upload 7 files 12 months ago
  • tokenizer.json
    8.59 MB
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  • tokenizer_config.json
    1.25 kB
    Upload 7 files 12 months ago
  • unigram.json
    7.56 MB
    Upload 7 files 12 months ago