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artificialguybr
/
textcaps-teste2

Image-to-Text
Transformers
PyTorch
Safetensors
English
git
image-text-to-text
vision
Model card Files Files and versions
xet
Community
1

Instructions to use artificialguybr/textcaps-teste2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use artificialguybr/textcaps-teste2 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="artificialguybr/textcaps-teste2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("artificialguybr/textcaps-teste2")
    model = AutoModelForImageTextToText.from_pretrained("artificialguybr/textcaps-teste2")
  • Notebooks
  • Google Colab
  • Kaggle
textcaps-teste2
3.15 GB
Ctrl+K
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  • 3 contributors
History: 5 commits
artificialguybr's picture
artificialguybr
docs: add Prompt Hub link to findgoodprompt.com
3c9916a verified 14 days ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    3.91 kB
    docs: add Prompt Hub link to findgoodprompt.com 14 days ago
  • config.json
    2.82 kB
    Upload 8 files over 3 years ago
  • model.safetensors
    1.58 GB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • preprocessor_config.json
    503 Bytes
    Upload 8 files over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.58 GB
    xet
    Upload 8 files over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 8 files over 3 years ago
  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    453 Bytes
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  • vocab.txt
    231 kB
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