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nlpodyssey
/
bert-multilingual-uncased-geo-countries-headlines

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

Instructions to use nlpodyssey/bert-multilingual-uncased-geo-countries-headlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nlpodyssey/bert-multilingual-uncased-geo-countries-headlines with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nlpodyssey/bert-multilingual-uncased-geo-countries-headlines")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nlpodyssey/bert-multilingual-uncased-geo-countries-headlines")
    model = AutoModelForSequenceClassification.from_pretrained("nlpodyssey/bert-multilingual-uncased-geo-countries-headlines")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-multilingual-uncased-geo-countries-headlines
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  • 2 contributors
History: 9 commits
mgrella's picture
mgrella
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SFconvertbot
Adding `safetensors` variant of this model (#1)
756fe37 about 3 years ago
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  • README.md
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  • config.json
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  • model.safetensors
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  • tokenizer_config.json
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  • vocab.txt
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