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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 |
|---|---|---|---|
| example_inputs |
string
|
Infer the date from context. Q: Today, 8/3/1997, is a day that we will never forget. What is the date one week ago from today in MM/DD/YYYY? Options: (A) 03/27/1998 (B) 09/02/1997 (C) 07/27/1997 (D) 06/29/1997 (E) 07/27/1973 (F) 12/27/1997 A:
Infer the date from context. Q: May 6, 1992 is like yesterday to Jane, but that is actually ten years ago. What is the date tomorrow in MM/DD/YYYY? Options: (A) 04/16/2002 (B) 04/07/2003 (C) 05/07/2036 (D) 05/28/2002 (E) 05/07/2002 A:
Infer the date from context. Q: Today is the second day of the third month of 1966. What is the date one week ago from today in MM/DD/YYYY? Options: (A) 02/26/1966 (B) 01/13/1966 (C) 02/02/1966 (D) 10/23/1966 (E) 02/23/1968 (F) 02/23/1966 A:
|
List of input examples, one Line one input.
|
| example_outputs |
string
|
(C)
(E)
(F)
|
List of output examples, one Line one output.
|
| lora_modules_specified |
string
|
Specify LoRA modules for the composition, options are from https://huggingface.co/models?search=lorahub, separated modules with comma, e.g. 'lorahub/flan_t5_large-quarel_logic_test, lorahub/flan_t5_large-coqa'
|
|
| num_random_lora_modules |
integer
|
20
Min: 2 Max: 196 |
Set number of LoRA modules to use. Ignored if specified modules above.
|
| max_inference_step |
integer
|
40
Min: 10 Max: 100 |
Maximum iteration steps to maximise LoRA module composition. We suggest setting it to 40 steps if 20 modules were chosen, with more steps typically needed for more modules.
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}