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maretamasaeva
/
RobBERT_sample2000_b8_e4

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use maretamasaeva/RobBERT_sample2000_b8_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use maretamasaeva/RobBERT_sample2000_b8_e4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="maretamasaeva/RobBERT_sample2000_b8_e4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("maretamasaeva/RobBERT_sample2000_b8_e4")
    model = AutoModelForSequenceClassification.from_pretrained("maretamasaeva/RobBERT_sample2000_b8_e4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RobBERT_sample2000_b8_e4 / runs
17 kB
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  • 1 contributor
History: 1 commit
maretamasaeva's picture
maretamasaeva
Training in progress, epoch 1
dc46dcc over 3 years ago
  • Mar30_09-21-13_9249fd13b84a
    Training in progress, epoch 1 over 3 years ago