unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Develop and train advanced AI models that can understand and generate language, images, and more.
From the README
- Sep, 2023: Kosmos-2.5 - a multimodal literate model for machine reading of text-intensive images.
- [Model Release] May, 2023: TextDiffuser models and code.
- [Model Release] March, 2023: BEiT-3 pretrained models and code.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeLarge-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
unilm has 22.2k stars on GitHub. It has been forked 2.7k times. unilm is written mainly in Python. It has been in active development since 2019. unilm is available under the MIT license. Its main topics are beit, beit-3, bitnet, deepnet.
What is unilm?
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Is unilm open source?
unilm is an open-source project. It is released under the MIT license.
Is unilm free?
Yes. unilm is free and open source — you can use, modify and self-host it.
What license does unilm use?
unilm is available under the MIT license.
What language is unilm written in?
unilm is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/microsoft-unilm.html)
