ravi-teja-konda / llava_finetune

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Run ravi-teja-konda/llava_finetune with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field Type Default value Description
image
string
Input image
prompt
string
Prompt to use for text generation
top_p
number
1

Max: 1

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
temperature
number
0.2
Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic
max_tokens
integer
1024
Maximum number of tokens to generate. A word is generally 2-3 tokens

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "array",
  "items": {
    "type": "string"
  },
  "title": "Output",
  "x-cog-array-type": "iterator",
  "x-cog-array-display": "concatenate"
}