
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

Model is trained and ready for deployment

florence-2-large

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.

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

Run with API