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POST
/
serverless
/
v1
/
detokenize
Detokenization
curl --request POST \
  --url https://api.friendli.ai/serverless/v1/detokenize \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "meta-llama-3.1-8b-instruct",
  "tokens": [
    128000,
    3923,
    374,
    1803,
    1413,
    15592,
    30
  ]
}
'
{
  "text": "What is generative AI?"
}
By giving a list of tokens, generate a detokenized output text string. To request successfully, it is mandatory to enter a Friendli Token (e.g. flp_XXX) value in the Bearer Token field. Refer to the authentication section on our introduction page to learn how to acquire this variable and visit here to generate your token.

Authorizations

​
Authorization
string
header
required

When using Friendli Suite API for inference requests, you need to provide a Friendli Token for authentication and authorization purposes.

For more detailed information, please refer here.

Headers

​
X-Friendli-Team
string | null

ID of team to run requests as (optional parameter).

Body

application/json
​
model
string
required

Code of the model to use. See available model list.

Example:

"meta-llama-3.1-8b-instruct"

​
tokens
integer[]
required

A token sequence to detokenize.

Example:
[128000, 3923, 374, 1803, 1413, 15592, 30]

Response

Successfully detokenized the tokens.

​
text
string
required

Detokenized text output.