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SkyText

SkyText is a Chinese-language GPT-style pretrained text-generation model with repository examples for loading it through Transformers. Its stated uses include chat, question answering, Chinese-English translation, text continuation and creative writing such as poems, couplets and recipes.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

SkyText — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use SkyText when you need a Chinese-focused generation model and are prepared to work from a model repository or try the linked API trial.

Who it is for

  • Developers building Chinese-language text-generation workflows.
  • Teams exploring Chinese chat, question-answering or translation interfaces.
  • Writers and prototypers interested in Chinese text continuation and structured creative prompts.

Documented uses

  • Generate a continuation from a Chinese prompt.
  • Create a conversational or question-answering experience.
  • Translate between Chinese and English.
  • Generate poems, couplets, recipes or interview questions.
Before you choose

Requirements & limits

The repository links to an API trial. Its code repository states an MIT license, while the README describes the larger SkyWork/SkyText model as temporarily closed-source and also lists SkyWork/SkyTextTiny.

  • The repository example uses Transformers 4.18.0 or later and sets the generation pipeline to device 0.
  • The repository distinguishes between the larger SkyWork/SkyText model and SkyWork/SkyTextTiny; its README labels the larger model temporarily closed-source.
  • The API-trial link is a separate exploration route from loading the model through the Python example.
  • The listed uses emphasize Chinese-language generation, with Chinese-English translation among the stated tasks.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Load SkyText for text generation with Transformers

Set up the model and tokenizer in a Python text-generation pipeline, following the repository’s example.

Before you start

  • Python environment with Transformers 4.18.0 or later, as recommended in the README.
  • Access to the SkyWork/SkyText model and tokenizer; the README also names SkyWork/SkyTextTiny as an option.

Steps

  1. Import GPT2LMHeadModel, AutoTokenizer and TextGenerationPipeline from Transformers.

  2. Load the model and tokenizer from SkyWork/SkyText; the README sets trust_remote_code=True for the tokenizer.

  3. Create a TextGenerationPipeline with the loaded model and tokenizer, using device=0 as shown.

  4. Provide a Chinese prompt and call the pipeline with generation settings, as in the README example.

Expected outcome

A Transformers text-generation pipeline configured to generate a continuation from a Chinese prompt.

Guide limitations

  • The README gives an example, not a full application or deployment guide.
  • The example references SkyWork/SkyText, while the README describes that larger model as temporarily closed-source; it also lists SkyWork/SkyTextTiny.
  • The example sets device=0; it does not document hardware requirements or compatibility guarantees.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
15 October 2026
Original website title
SkyWorkAIGC/SkyText-Chinese-GPT3 · Official homepage title · retained in its source language
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