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LeroyDyer
/
SpydazWebAI_VisionEncoderDecoderModel_Mini548m

Image-to-Text
Transformers
Safetensors
English
mistral
text-generation
vision
VISION-ENCODER-DECODER-MODEL
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m 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="LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m")
    model = AutoModelForCausalLM.from_pretrained("LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m")
  • Notebooks
  • Google Colab
  • Kaggle
SpydazWebAI_VisionEncoderDecoderModel_Mini548m
1.17 GB
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  • 1 contributor
History: 10 commits
LeroyDyer's picture
LeroyDyer
Update README.md
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • configuration_mistral_advanced.py
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  • generation_config.json
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  • model.safetensors
    1.17 GB
    xet
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  • modeling_mistral_advanced.py
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  • special_tokens_map.json
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  • tokenizer.json
    1.8 MB
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  • tokenizer.model
    493 kB
    xet
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  • tokenizer_config.json
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