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fhamborg
/
newsframes-econ-bin

Text Classification
sentence-transformers
PyTorch
setfit
mpnet
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use fhamborg/newsframes-econ-bin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use fhamborg/newsframes-econ-bin with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("fhamborg/newsframes-econ-bin")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • setfit

    How to use fhamborg/newsframes-econ-bin with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("fhamborg/newsframes-econ-bin")
  • Notebooks
  • Google Colab
  • Kaggle
newsframes-econ-bin
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  • 1 contributor
History: 3 commits
fhamborg's picture
fhamborg
Update README.md
f671aa2 verified almost 2 years ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    594 Bytes
    Update README.md almost 2 years ago
  • config.json
    739 Bytes
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  • config_sentence_transformers.json
    122 Bytes
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  • model_head.pkl
    7.01 kB
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  • modules.json
    229 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.59 kB
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  • vocab.txt
    232 kB
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