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dauvannam321
/
XLM_augmented_concat_data

Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use dauvannam321/XLM_augmented_concat_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dauvannam321/XLM_augmented_concat_data with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dauvannam321/XLM_augmented_concat_data")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dauvannam321/XLM_augmented_concat_data")
    model = AutoModelForSequenceClassification.from_pretrained("dauvannam321/XLM_augmented_concat_data")
  • Notebooks
  • Google Colab
  • Kaggle
XLM_augmented_concat_data / runs
21.1 kB
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  • 1 contributor
History: 21 commits
dauvannam321's picture
dauvannam321
Training in progress, step 14952
a04436f verified almost 2 years ago
  • Jun24_01-30-09_38485498d310
    Training in progress, step 14952 almost 2 years ago