This model is based on the Transformers library, and its specific purpose and functionality require further information for confirmation.

Natural Language ProcessingTransformers

A BLIP-2 OPT-2.7B model fine-tuned with reinforcement learning, capable of generating long and comprehensive image descriptions

MultimodalTransformersEnglish

InstructBLIP is a vision-instruction-tuned version based on BLIP-2, combining visual and language processing capabilities to generate responses based on images and textual instructions.

MultimodalTransformersEnglish

A first-person perspective optimized vision-language model trained on BLIP-2-OPT-2.7B, employing the innovative EILEV method to stimulate in-context learning capabilities

MultimodalTransformersEnglish

BLIP-2 is a vision-language model that combines an image encoder with a large language model for image-to-text generation and visual question answering tasks.

MultimodalTransformersEnglish

mBLIP is a multilingual vision-language model based on the BLIP-2 architecture, supporting image caption generation and visual question answering tasks in 96 languages.

MultimodalTransformersMultiple Languages

BLIP-2 is a vision-language model based on OPT-2.7b, which achieves image-to-text generation by freezing the image encoder and large language model while training a query transformer.

MultimodalTransformersEnglish

InstructBLIP is a vision instruction tuning model based on BLIP-2, using Flan-T5-xl as the language model, capable of generating descriptions based on images and text instructions.

MultimodalTransformersEnglish

InstructBLIP is the vision-instruction-tuned version of BLIP-2, combining vision and language models to generate descriptions or answer questions based on images and text instructions.

MultimodalTransformersEnglish

BLIP-2 is a vision-language model based on Flan T5-xxl, pretrained by freezing the image encoder and large language model, supporting tasks like image caption generation and visual question answering.

MultimodalTransformersEnglish

InstructBLIP is the vision-instruction-tuned version of BLIP-2, based on the Flan-T5-xl language model, designed for image-to-text generation tasks.

MultimodalTransformersEnglish

BLIP-2 is a vision-language model that combines an image encoder with a large language model for image-to-text generation tasks.

MultimodalTransformersEnglish

mBLIP is a multilingual vision-language model based on BLIP-2 architecture, supporting image caption generation and visual question answering tasks in 96 languages.

MultimodalTransformersMultiple Languages

BLIP-2 is a vision-language model that combines an image encoder with a large language model (OPT-6.7b) for image-to-text generation tasks.

MultimodalTransformersEnglish

BLIP-2 is a vision-language pre-trained model that combines an image encoder and a large language model for image-to-text generation tasks.

MultimodalTransformersEnglish

BLIP-2 is a vision-language model that combines an image encoder with a large language model for image-to-text tasks.

MultimodalTransformersEnglish

BLIP-2 is a vision-language pre-trained model that achieves language-image pre-training guidance by freezing the image encoder and large language model.

MultimodalTransformersEnglish

InstructBLIP is the visual instruction-tuned version of BLIP-2, based on the Vicuna-13b language model, designed for vision-language tasks.

MultimodalTransformersEnglish

InstructBLIP is the vision-instruction-tuned version of BLIP-2, capable of generating descriptions or answers based on images and text instructions

MultimodalTransformersEnglish

InstructBLIP is the vision-instruction fine-tuned version of BLIP-2, capable of performing vision-language tasks such as image caption generation and visual question answering.

MultimodalTransformersEnglish