A powerful 7-billion parameter LLM trained on up to 8K sequence length with fine-tuning on instructional data, enabling robust long sequence modeling and various NLP...

BLIP-based text embedding model.

BLIP-based image embedding model

Generates English captions from images. Ideal for auto-generating captions and creating metadata at scale.

BLIP-2, a scalable multimodal pre-training method that enables any Large Language Models (LLMs) to ingest and understand images, unlocks the capabilities of zero-shot image-to-text generation...

BLIP-2 is a state-of-the-art image captioning model with 6.7B parameters

BLIP-2, a scalable multimodal pre-training method that enables any Large Language Models (LLMs) to ingest and understand images, unlocks the capabilities of zero-shot image-to-text generation...