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larabe
/
testt1

Image-to-Text
Transformers
PyTorch
TensorBoard
vision-encoder-decoder
image-text-to-text
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use larabe/testt1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use larabe/testt1 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="larabe/testt1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("larabe/testt1")
    model = AutoModelForImageTextToText.from_pretrained("larabe/testt1")
  • Notebooks
  • Google Colab
  • Kaggle
testt1 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
larabe's picture
larabe
End of training
b48e74a over 2 years ago
  • Aug25_12-42-30_ip-172-31-42-230.eu-central-1.compute.internal
    End of training over 2 years ago