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oza75
/
bambara-gpt2-base

Feature Extraction
Transformers
TensorBoard
Safetensors
Bambara
gpt2
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use oza75/bambara-gpt2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use oza75/bambara-gpt2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="oza75/bambara-gpt2-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("oza75/bambara-gpt2-base")
    model = AutoModel.from_pretrained("oza75/bambara-gpt2-base")
  • Notebooks
  • Google Colab
  • Kaggle

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