Skip to main content

Natural Language Processing by the Exciton Research

Project description

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

exciton-2.6.5-py3-none-any.whl (38.9 kB view details)

Uploaded Python 3

File details

Details for the file exciton-2.6.5-py3-none-any.whl.

File metadata

  • Download URL: exciton-2.6.5-py3-none-any.whl
  • Upload date:
  • Size: 38.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for exciton-2.6.5-py3-none-any.whl
Algorithm Hash digest
SHA256 befe5260fed57d24d768226489cf6772f7d74f685396a1c523b119b7b7a34523
MD5 be6ad5ccff91c2d643ca58249e8d6977
BLAKE2b-256 6a80f6119fe5044ee004494fb345008880ad9078ea78022e8ec989b7509b3df5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page