This is a sentence-transformers model fine-tuned for Ukrainian language: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. The original model used for fine-tuning is `sentence-transformers/paraphrase-multilingual-mpnet-base-v2`. See our paper Contextual Embeddings for Ukrainian: A Large Language Model Approach to Word Sense Disambiguation for details. Without sentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.

Embeddings & similarity

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bloom-1b4-zh

Langboat

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Text generation

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bloom-389m-zh

Langboat

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation

Input Text→ Output Text

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Guohua-Diffusion

Langboat

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Image generation

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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