Skip to main content

Domain-specific Natural Language Processing with exciton

Project description

Exciton NLP - A tool for natural language processing

Exciton NLP is designed and maintained by ExcitonX 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-1.4.19-py3-none-any.whl (53.2 kB view details)

Uploaded Python 3

File details

Details for the file exciton-1.4.19-py3-none-any.whl.

File metadata

  • Download URL: exciton-1.4.19-py3-none-any.whl
  • Upload date:
  • Size: 53.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for exciton-1.4.19-py3-none-any.whl
Algorithm Hash digest
SHA256 331b81bdab3b7e2e92604738e5429f2fd576c105877095dff784dae8f846f506
MD5 c9bfbc1432fdf2c09f8b50bf71bb32f1
BLAKE2b-256 98547ad6942a7ca94dfbb5f0f503e868783c95c33d0cbb086045485c1c2deb18

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