A Seraiki news summarization model fine-tuned based on the mBART-50 multilingual model, capable of generating concise summaries from Seraiki news content

Natural Language ProcessingTransformersOther

This is a Portuguese sentence encoder based on sentence-transformers, which maps text to a 768-dimensional vector space, suitable for tasks such as semantic search and text clustering.

Natural Language ProcessingTransformers

Serafim 900m is a sentence transformer model specifically optimized for Portuguese, capable of mapping sentences and paragraphs to a 1536-dimensional dense vector space. This model is specifically tuned for information retrieval tasks and can be used in application scenarios such as semantic search and text clustering.

Natural Language ProcessingSentence-transformersOther

A Portuguese sentence encoder based on sentence-transformers that can map text to a 768-dimensional vector space, suitable for semantic search and clustering tasks.

Natural Language ProcessingSentence-transformersOther

The Serafim 900m Portuguese sentence encoder is a dedicated model based on sentence-transformers. It can map Portuguese sentences and paragraphs to a 1536-dimensional dense vector space and supports natural language processing tasks such as semantic search and text clustering.

Natural Language ProcessingSentence-transformersOther

A text-to-image model trained by mint designer on alvdansen using TheLastBen's fast-DreamBooth notebook, with 1500 training steps and 12 images.

Computer VisionDiffusers