page.md

title	Text translation
nextjs	metadata title description Text translation Learn about text translation.

Overview

LLMs have proven their proficiency in translation tasks. To leverage this capability, Scikit-LLM provides the Translator module, designed for translating any given text into a specified target language.

Example:

from skllm.models.gpt.text2text.translation import GPTTranslator
from skllm.datasets import get_translation_dataset

X = get_translation_dataset()
t = GPTTranslator(model="gpt-3.5-turbo", output_language="English")
translated_text = t.fit_transform(X)

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API Reference

The following API reference only lists the parameters needed for the initialization of the estimator. The remaining methods follow the syntax of a scikit-learn transformer.

GPTTranslator

from skllm.models.gpt.text2text.translation import GPTTranslator

Parameter	Type	Description
model	str	Model to use, by default "gpt-3.5-turbo".
key	Optional[str]	Estimator-specific API key; if None, retrieved from the global config, by default None.
org	Optional[str]	Estimator-specific ORG key; if None, retrieved from the global config, by default None.
output_language	str	Target language, by default "English".

ClaudeTranslator

from skllm.models.anthropic.text2text.translation import ClaudeTranslator

Parameter	Type	Description
model	str	Model to use, by default "claude-3-haiku-20240307"
key	Optional[str]	Estimator-specific API key; if None, retrieved from the global config, by default None
output_language	str	Target language, by default "English"