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tarekziade
/
test-push

Image-to-Text
Transformers
PyTorch
ONNX
vision-encoder-decoder
image-text-to-text
image-captioning
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use tarekziade/test-push with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tarekziade/test-push 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="tarekziade/test-push")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("tarekziade/test-push")
    model = AutoModelForImageTextToText.from_pretrained("tarekziade/test-push")
  • Notebooks
  • Google Colab
  • Kaggle
test-push / onnx
1.89 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit

This model has 1 file scanned as unsafe.

tarekziade's picture
tarekziade HF Staff
New training
622b2a4 verified almost 2 years ago
  • decoder_model.onnx
    386 MB
    xet
    New training almost 2 years ago
  • decoder_model_merged.onnx
    387 MB
    xet
    New training almost 2 years ago
  • decoder_model_merged_quantized.onnx
    99.8 MB
    xet
    New training almost 2 years ago
  • decoder_model_quantized.onnx
    98.1 MB
    xet
    New training almost 2 years ago
  • decoder_with_past_model.onnx
    386 MB
    xet
    New training almost 2 years ago
  • decoder_with_past_model_quantized.onnx
    98.1 MB
    xet
    New training almost 2 years ago
  • encoder_model.onnx
    343 MB
    xet
    New training almost 2 years ago
  • encoder_model_quantized.onnx
    87 MB
    xet
    New training almost 2 years ago