florence-2-large

Florence-2-large is a lightweight, versatile vision-language model by Microsoft, excelling in multiple tasks using a unified representation and the extensive FLD-5B dataset

Input

Prompt

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The maximum number of tokens to generate. Shorter token lengths will provide faster performance.
A decimal number that determines the degree of randomness in the response
The top-k parameter limits the model's predictions to the top k most probable tokens at each step of generation.
An alternative to sampling with temperature, where samples from the top p percentage of most likely tokens.
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Output

Notes

  • ID
  • Model Type ID
    Multimodal To Text
  • Input Type
    image
  • Output Type
    text
  • Description
    Florence-2-large is a lightweight, versatile vision-language model by Microsoft, excelling in multiple tasks using a unified representation and the extensive FLD-5B dataset
  • Last Updated
    Oct 17, 2024
  • Privacy
    PUBLIC
  • Use Case
  • Toolkit
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    florence-2-large