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-2.8.0-py3-none-any.whl (45.2 kB view details)

Uploaded Python 3

File details

Details for the file exciton-2.8.0-py3-none-any.whl.

File metadata

  • Download URL: exciton-2.8.0-py3-none-any.whl
  • Upload date:
  • Size: 45.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for exciton-2.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9df11fd14f948007418f2364de7d56dfd5d3fee9a3aa9e7b39598b5fb72a3f02
MD5 ce387e84876f27e609f2ecb259a4e05c
BLAKE2b-256 38af9af54c18e8cb17a845b89e4a2a935aea99f0cf6aafba349828a00bf3a751

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