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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 |
---|---|---|---|
texts |
string
|
四川美食确实以辣闻名,但也有不辣的选择。比如甜水面、赖汤圆、蛋烘糕、叶儿粑等,这些小吃口味温和,甜而不腻,也很受欢迎。
|
Texts to synthesize, separated by '|'
|
spk |
string
|
Speaker (empty to sample a random one)
|
|
stream |
boolean
|
False
|
Use stream mode
|
lang |
string
|
Language code (e.g., 'en', 'zh')
|
|
skip_refine_text |
boolean
|
False
|
Skip text refining
|
use_decoder |
boolean
|
True
|
Use decoder
|
do_text_normalization |
boolean
|
True
|
Perform text normalization
|
do_homophone_replacement |
boolean
|
False
|
Perform homophone replacement
|
temperature |
number
|
0.3
Max: 1 |
Temperature for sampling (0-1)
|
top_P |
number
|
0.7
Max: 1 |
Top P for sampling (0-1)
|
top_K |
integer
|
20
Max: 20 |
Top K for sampling (0-20)
|
manual_seed |
integer
|
Manual seed for reproducibility
|
|
prompt |
string
|
|
Prompt for text refinement
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}