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
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73156f3
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Parent(s):
db34f6a
Docs(README): Added yaml metadata
Browse files
README.md
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# Model Card for Opera Bullet Interpreter
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An unofficial United States Air Force and Space Force performance statement "translation" model. Takes a properly formatted performance statement, also known as a "bullet," as an input and outputs a long-form sentence, using plain english, describing the accomplishments captured within the bullet.
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# Environmental Impact
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- **Hardware Type:**
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- **Hours used:** 18
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- **Cloud Provider:** N/A
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- **Compute Region:** N/A
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**BibTeX:**
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@article{lamini-lm,
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author
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Abdul Waheed and
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Chiyu Zhang and
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Muhammad Abdul-Mageed and
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Alham Fikri Aji
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},
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title
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journal
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volume
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year
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url
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eprinttype
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eprint
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}
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# Model Card Authors
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---
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language:
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- en
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license: apache-2.0
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tags:
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- united states air force
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- united states space force
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- department of defense
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- air force
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- space force
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- bullets
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- performance reports
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- OPR
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- EPR
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- narratives
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- interpreter
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- translation
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- t5
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- MBZUAI
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- LaMini-Flan-T5-783M
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- flan-t5
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- google
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- opera
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- justinthelaw
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---
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# Model Card for Opera Bullet Interpreter
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An unofficial United States Air Force and Space Force performance statement "translation" model. Takes a properly formatted performance statement, also known as a "bullet," as an input and outputs a long-form sentence, using plain english, describing the accomplishments captured within the bullet.
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# Environmental Impact
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- **Hardware Type:** 2019 MacBook Pro, 16 inch
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- **Hours used:** 18
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- **Cloud Provider:** N/A
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- **Compute Region:** N/A
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**BibTeX:**
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```
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@article{lamini-lm,
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author = {Minghao Wu and
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Abdul Waheed and
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Chiyu Zhang and
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Muhammad Abdul-Mageed and
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Alham Fikri Aji
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},
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title = {LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions},
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journal = {CoRR},
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volume = {abs/2304.14402},
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year = {2023},
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url = {https://arxiv.org/abs/2304.14402},
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eprinttype = {arXiv},
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eprint = {2304.14402}
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}
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```
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# Model Card Authors
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