Translation
Transformers
PyTorch
Safetensors
English
t5
text2text-generation
united states air force
united states space force
department of defense
dod
usaf
ussf
afi
air force
space force
bullets
performance reports
evaluations
awards
opr
epr
narratives
interpreter
mbzuai
lamini-flan-t5-783m
flan-t5
google
opera
justinthelaw
text-generation-inference
Inference Endpoints
Justin Law
commited on
Commit
•
ca08fb3
1
Parent(s):
3d08016
Docs(README): Updated inference example
Browse files
README.md
CHANGED
@@ -1,36 +1,36 @@
|
|
1 |
---
|
2 |
language:
|
3 |
-
|
4 |
license: apache-2.0
|
5 |
tags:
|
6 |
-
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
widget:
|
32 |
-
- text: "Using full sentences, expand upon the following Air and Space Force bullet statement by spelling-out acronyms and adding additional context
|
33 |
-
|
34 |
---
|
35 |
|
36 |
# Opera Bullet Interpreter
|
@@ -84,7 +84,7 @@ Used to programmatically produce training data for Opera's Bullet Forge (see
|
|
84 |
The exact prompt to achieve the desired result is:
|
85 |
|
86 |
```
|
87 |
-
Using full sentences, expand upon the following Air and Space Force bullet statement by spelling-out acronyms and adding additional context
|
88 |
```
|
89 |
|
90 |
## Downstream Use
|
@@ -200,11 +200,7 @@ Use the code below to get started with the model.
|
|
200 |
import torch
|
201 |
from transformers import T5ForConditionalGeneration, T5Tokenizer
|
202 |
|
203 |
-
bullet_data_creation_prefix =
|
204 |
-
"Using full sentences, expand upon the following Air and Space Force bullet statement by "
|
205 |
-
+ "spelling-out acronyms and adding additional context that is not already included in the " +
|
206 |
-
"Air and Space Force bullet statement: "
|
207 |
-
)
|
208 |
|
209 |
# Path of the pre-trained model that will be used
|
210 |
model_path = "justinthelaw/opera-bullet-interpreter"
|
|
|
1 |
---
|
2 |
language:
|
3 |
+
- en
|
4 |
license: apache-2.0
|
5 |
tags:
|
6 |
+
- united states air force
|
7 |
+
- united states space force
|
8 |
+
- department of defense
|
9 |
+
- dod
|
10 |
+
- usaf
|
11 |
+
- ussf
|
12 |
+
- afi
|
13 |
+
- air force
|
14 |
+
- space force
|
15 |
+
- bullets
|
16 |
+
- performance reports
|
17 |
+
- evaluations
|
18 |
+
- awards
|
19 |
+
- opr
|
20 |
+
- epr
|
21 |
+
- narratives
|
22 |
+
- interpreter
|
23 |
+
- translation
|
24 |
+
- t5
|
25 |
+
- mbzuai
|
26 |
+
- lamini-flan-t5-783m
|
27 |
+
- flan-t5
|
28 |
+
- google
|
29 |
+
- opera
|
30 |
+
- justinthelaw
|
31 |
widget:
|
32 |
+
- text: "Using full sentences, expand upon the following Air and Space Force bullet statement by spelling-out acronyms and adding additional context: - Attended 4-hour EPD Instructor training; taught 3 2-hour Wing EPD & 4 1-hour bullet writing courses--prepared 164 for leadership"
|
33 |
+
example_title: "Example Usage"
|
34 |
---
|
35 |
|
36 |
# Opera Bullet Interpreter
|
|
|
84 |
The exact prompt to achieve the desired result is:
|
85 |
|
86 |
```
|
87 |
+
Using full sentences, expand upon the following Air and Space Force bullet statement by spelling-out acronyms and adding additional context: <INSERT BULLET HERE>"
|
88 |
```
|
89 |
|
90 |
## Downstream Use
|
|
|
200 |
import torch
|
201 |
from transformers import T5ForConditionalGeneration, T5Tokenizer
|
202 |
|
203 |
+
bullet_data_creation_prefix = "Using full sentences, expand upon the following Air and Space Force bullet statement by spelling-out acronyms and adding additional context: "
|
|
|
|
|
|
|
|
|
204 |
|
205 |
# Path of the pre-trained model that will be used
|
206 |
model_path = "justinthelaw/opera-bullet-interpreter"
|