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hplisiecki
/
polemo_intensity

Text Classification
Transformers
PyTorch
Safetensors
Polish
roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use hplisiecki/polemo_intensity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hplisiecki/polemo_intensity with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hplisiecki/polemo_intensity")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hplisiecki/polemo_intensity")
    model = AutoModel.from_pretrained("hplisiecki/polemo_intensity")
  • Notebooks
  • Google Colab
  • Kaggle
polemo_intensity
1.02 GB
Ctrl+K
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  • 1 contributor
History: 36 commits
hplisiecki's picture
hplisiecki
Update README.md
14efeb0 verified 10 months ago
  • .idea
    major update 10 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    4.33 kB
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  • config.json
    821 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    498 MB
    xet
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  • model_script.py
    4.96 kB
    major update 10 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    517 MB
    xet
    major update 10 months ago
  • special_tokens_map.json
    280 Bytes
    major update 10 months ago
  • tokenizer.json
    3.36 MB
    Upload 7 files almost 2 years ago
  • tokenizer_config.json
    1.28 kB
    major update 10 months ago
  • unigram.json
    2.95 MB
    Upload 7 files almost 2 years ago
  • vocab.json
    798 kB
    major update 10 months ago