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-2.6.0-py3-none-any.whl (39.0 kB view details)

Uploaded Python 3

File details

Details for the file exciton-2.6.0-py3-none-any.whl.

File metadata

  • Download URL: exciton-2.6.0-py3-none-any.whl
  • Upload date:
  • Size: 39.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for exciton-2.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 89ebb43c1db54d3dbacdbdcf5cf0e0e1b919ca8621af1daaf69c39f81020a28c
MD5 8ed0160164c058ddb2edca0180397d9e
BLAKE2b-256 045c5d2395236add5aeb0f59a8ad651f180be3e1a1b0300cb0d9b0825bf4631f

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