t5-small: Responses
By model
t5-small
Model details for t5-small. Google’s text-to-text encoder-decoder, served for cheap high-volume summarization.
POST
t5-small: Responses
The
instructions field is not needed for this model. Send only the text to
summarize and read the summary from the response’s output text. Inputs are
truncated at 512 tokens, so chunk anything longer, or reach for
llama-3.1-8b-instruct-fast
when the whole document has to land in one pass.Google’s T5-small introduced the text-to-text paradigm that changed how the industry thinks about NLP. At 60M parameters, it’s the most versatile encoder-decoder model in its class, pre-trained on the Colossal Clean Crawled Corpus (C4) and fine-tunable for virtually any text task with minimal data. Its encoder-decoder architecture makes it especially strong at tasks that require both understanding and generation, like summarization and rewriting. A proven workhorse that’s been battle-tested across millions of production deployments.References: Model card • License • Terms • Privacy
Authorizations
Headers
Optional project identifier. Scopes the request to a specific project when provided.
Body
application/json
Model identifier (fixed for this playground). Use request examples to change use cases.
Allowed value:
"t5-small"Example:
"t5-small"
The text to summarize, as a plain string. Inputs are truncated at 512 tokens.
Required string length:
1 - 131072Response
Success
The response is of type object.

