exciton

Name	exciton JSON
Version	2.9.3 JSON
	download
home_page	https://excitonresearch.com
Summary	Natural Language Processing by the Exciton Research
upload_time	2024-07-11 23:02:21
maintainer	None
docs_url	None
author	The Exciton Research Team
requires_python	>=3.8
license	None
keywords	nlp deep learning
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Exciton NLP - A tool for natural language processing

Exciton NLP is designed and maintained by the Exciton Research for different NLP tasks, including multilingual classification, NER, translation, etc.

## Installation
Use ``pip`` to install exciton. Run:

```
pip install -U exciton
```

## Usage

```

from exciton.nlp.translation import M2M100

model = M2M100(model="m2m100_1.2b", device="cuda")
source = [
    {"id": 1, "source": "I love you!", "source_lang": "en", "target_lang": "zh"},
    {"id": 2, "source": "我爱你！", "source_lang": "zh", "target_lang": "en"}
]
results = model.predict(source)

```


            

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    "description": "# Exciton NLP - A tool for natural language processing\n\nExciton NLP is designed and maintained by the Exciton Research for different NLP tasks, including multilingual classification, NER, translation, etc.\n\n## Installation\nUse ``pip`` to install exciton. Run:\n\n```\npip install -U exciton\n```\n\n## Usage\n\n```\n\nfrom exciton.nlp.translation import M2M100\n\nmodel = M2M100(model=\"m2m100_1.2b\", device=\"cuda\")\nsource = [\n    {\"id\": 1, \"source\": \"I love you!\", \"source_lang\": \"en\", \"target_lang\": \"zh\"},\n    {\"id\": 2, \"source\": \"\u6211\u7231\u4f60\uff01\", \"source_lang\": \"zh\", \"target_lang\": \"en\"}\n]\nresults = model.predict(source)\n\n```\n\n",
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