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Training a transformer model for language

Install

pip install tt4l

Usage

Tasks

find supported tasks

tt4l tasks
Args Task Name Short Description
text_classification Text Classification Text classification is a common NLP task that assigns a label or class to text.
token_classification Token Classification Token classification assigns a label to individual tokens in a sentence. One of the most common task is Named Entity Recognition (NER)。
universal_information_extraction Universal Information Extraction The Unified Information Extraction Framework (UIE) for general information extraction achieves unified modeling of tasks such as entity extraction, relationship extraction, event extraction, and sentiment analysis, and enables good transferability and generalization ability between different tasks.

Show task description.
tt4l desc [TASK_TYPE] Eg:

tt4l desc text_classification

init task config file

tt4l init [TASK_TYPE]

Eg:

tt4l init text_classification

Modify the corresponding configuration

Train

tt4l train [TASK_TYPE]

Eg:

tt4l train text_classification_task.yaml

Predict

tt4l predict [YAML]

Eg:

tt4l predict text_classification_task.yaml

Inference

tt4l inference [TASK_TYPE] [*args]

Metadata

Release files for tt4l 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tt4l 0.0.4
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Built distribution (wheel)

Table of built distributions (wheels) for tt4l 0.0.4
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tt4l-0.0.4-py3-none-any.whl Python 3 none any Details

Total release size: 193.7 kB

Release files / tt4l-0.0.4.tar.gz

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0.0.4 This release

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