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Tesleum
/
0xDental

Visual Question Answering
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
text-generation-inference
unsloth
8-bit precision
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use Tesleum/0xDental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tesleum/0xDental with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="Tesleum/0xDental")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Tesleum/0xDental")
    model = AutoModelForMultimodalLM.from_pretrained("Tesleum/0xDental", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
0xDental
3.55 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
stevelionheart's picture
stevelionheart
Update README.md
74c19a0 verified about 2 months ago
  • .gitattributes
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  • README.md
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  • chat_template.jinja
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  • config.json
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  • export_metadata.json
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  • generation_config.json
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  • model.safetensors
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  • processor_config.json
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  • recipe.yaml
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  • tokenizer.json
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  • tokenizer_config.json
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