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replicate/flan-t5-xl
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A language model by Google for tasks like classification, summarization, and more
Capabilities
Top-P
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
prompt* | string | Prompt to send to FLAN-T5. | — | — |
debug | boolean | provide debugging output in logs | false | — |
max_length | integer | Maximum number of tokens to generate. A word is generally 2-3 tokens | 50 | min: 1 |
repetition_penalty | number | Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it. | 1 | min: 0.01, max: 5 |
temperature | number | Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value. | 0.75 | min: 0.01, max: 5 |
top_p | number | When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens | 1 | min: 0.01, max: 1 |
promptrequiredstringPrompt to send to FLAN-T5.
debugbooleanprovide debugging output in logs
Default:
falsemax_lengthintegerMaximum number of tokens to generate. A word is generally 2-3 tokens
Default:
50min: 1repetition_penaltynumberPenalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.
Default:
1min: 0.01, max: 5temperaturenumberAdjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
Default:
0.75min: 0.01, max: 5top_pnumberWhen decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
Default:
1min: 0.01, max: 1Version:
eec2f71c986dUpdated: 7/25/2026151.3K runs