Skip to main content

texta-tagger

Project description

TEXTA Torch Tagger Python Package

Installation

From Git

pip install git+https://git.texta.ee/texta/texta-torch-tagger-python.git

Testing

python -m pytest -v tests

Usage

>>>  from texta_tools.embedding import W2VEmbedding
>>>  from texta_torch_tagger.tagger import TorchTagger
>>>  
>>>  data = {"good": ["Täna on ilus ilm.", "Kuidas käsi käib?"], "bad": ["Arno on loll.", "ei"]}
>>>  
>>>  embedding = W2VEmbedding()
>>>  embedding.train([y for x in data.values() for y in x])
>>>  
>>>  tagger = TorchTagger(embedding, model_arch="TextRNN")
>>>  
>>>  report = t.train(data, num_epochs=3)
>>>  
>>>  tagger.tag_text("Ei hooli.")
"bad"

Project details


Download files

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

Source Distribution

texta-torch-tagger-1.0.5.tar.gz (20.8 kB view details)

Uploaded Source

File details

Details for the file texta-torch-tagger-1.0.5.tar.gz.

File metadata

  • Download URL: texta-torch-tagger-1.0.5.tar.gz
  • Upload date:
  • Size: 20.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

File hashes

Hashes for texta-torch-tagger-1.0.5.tar.gz
Algorithm Hash digest
SHA256 867dd92347274b44ffc4d99a5c88abf9d2d2766a5a6c008bfe3cc90e49372bdf
MD5 ef4b8ef24b924670d38476f455eecf35
BLAKE2b-256 921d4739aee74c27b7867239d49c66339bbf3fc5ee62641ed3800175cd69ba97

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