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rajendrabaskota
/
bert-base-dataverse-2023

Text Classification
Transformers
PyTorch
TensorBoard
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use rajendrabaskota/bert-base-dataverse-2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rajendrabaskota/bert-base-dataverse-2023 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rajendrabaskota/bert-base-dataverse-2023")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rajendrabaskota/bert-base-dataverse-2023")
    model = AutoModelForSequenceClassification.from_pretrained("rajendrabaskota/bert-base-dataverse-2023", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-dataverse-2023 / runs
19.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
rajendrabaskota's picture
rajendrabaskota
Training in progress, step 27500
a91fb9b over 3 years ago
  • Jan21_21-59-51_c5db2392d41a
    Training in progress, step 2500 over 3 years ago
  • Jan22_19-14-28_c430dc839a91
    Training in progress, step 27500 over 3 years ago