transllm 0.1.2

LLMtranslator translates and generates text in multiple languages.

Development Status :: 3 - Alpha

Python Package: hf-transllm

LLMtranslator translates and generates text in multiple languages.

Through the inference module of Hugging Face, you can conveniently use the results of Hugging Face's open-source large language model. However, there are limitations in retraining or evaluating the model's performance in various languages.

Therefore, this package allows you to explore the results of the Hugging Face inference module in multiple languages using various trnaslated_answer API services.

Since the purpose of the Hugging Face inference module is more focused on checking the model weights easily rather than efficiency, this package emphasizes the ability to explore the results in various languages rather than efficiency.

Install

pip install transllm

If you wish to use the various features and CLI:

pip install git+https://github.com/dsdanielpark/hf-transllm.git
cd hf-transllm
python main.py

Usage

Simple Usage

• Google Trnaslator

from transllm import LLMtranslator

# Set huggingface repository
model_path = 'openlm-research/open_llama_3b'
# model_path = 'openlm-research/open_llama_7b'
# model_path = 'openlm-research/open_llama_13b'

# Get TransLLM Object
open_llama3b_kor = LLMtranslator(model_path, target_lang='ko', translator='google')

# Using Prompt in multi-language
prompt = "나와 내 동년배들이 좋아하는 뉴진스에 대해서 알려줘"
trnaslated_answer = open_llama3b_kor.generate(prompt)
print(trnaslated_answer)

• DeepL, OpenAI, Bard

from transllm import LLMtranslator

# Set huggingface repository
model_path = 'openlm-research/open_llama_3b'
# model_path = 'openlm-research/open_llama_7b'
# model_path = 'openlm-research/open_llama_13b'

# Choose Translate Service API: DeepL, OpenAI, Bard
open_llama3b_kor = LLMtranslator(model_path, target_lang='EN', translator='deepl', deepl_api='xxxxxxx') 
# open_llama3b_kor = LLMtranslator(model_path, target_lang='korean', translator='openai', openai_api='xxxxxxx', openai_model='gpt-3.5-turbo')
# open_llama3b_kor = LLMtranslator(model_path, target_lang='korean', translator='bard', bard_api='xxxxxxx')

# Using Prompt in multi-language
prompt = "나와 내 동년배들이 좋아하는 뉴진스에 대해서 알려줘"
trnaslated_answer = open_llama3b_kor.generate(prompt)
print(trnaslated_answer)

Contributors

I would like to express my sincere gratitude for the contributions made by all the contributors.

License

MIT
I hold no legal responsibility;

The MIT License (MIT)

Copyright (c) 2023 Minwoo Park

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Bugs and Issues

Sincerely grateful for any reports on new features or bugs. Your valuable feedback on the code is highly appreciated.

Contacts

• Core maintainer: Daniel Park, South Korea
  
• E-mail: [e-mail]
  

Reference

[1] https://huggingface.co/docs/api-inference/index

Copyright (c) 2023 MinWoo Park, South Korea