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Seungjun
/
image_captioner

Image-to-Text
Transformers
Safetensors
pytorch_model_hub_mixin
model_hub_mixin
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Seungjun/image_captioner 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="Seungjun/image_captioner")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Seungjun/image_captioner", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
image_captioner
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Seungjun's picture
Seungjun
Update README.md
1fd3456 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    960 Bytes
    Update README.md about 2 years ago
  • config.json
    118 Bytes
    Push model using huggingface_hub. about 2 years ago
  • model.safetensors
    177 MB
    xet
    Push model using huggingface_hub. about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago