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azamat
/
geocoder_coordinates_model

Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use azamat/geocoder_coordinates_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="azamat/geocoder_coordinates_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("azamat/geocoder_coordinates_model")
    model = AutoModelForSequenceClassification.from_pretrained("azamat/geocoder_coordinates_model")
  • Notebooks
  • Google Colab
  • Kaggle
geocoder_coordinates_model / runs
29.1 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
azamat's picture
azamat
End of training
b3d9a48 over 3 years ago
  • Dec26_00-57-20_a3b12d3539ac
    Training in progress, step 3000 over 3 years ago
  • Dec26_08-10-23_8a938ec80e92
    End of training over 3 years ago