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#vision-language

Every item tagged vision-language, newest first.

4 items

researchAug 7

Vision Language Model Alignment in TRL ⚡️

Researchers from Hugging Face and others propose a new method for aligning vision language models using trust region policy optimization. The approach aims to improve model performance on tasks requiring both visual and textual understanding. You can explore the code and details on the Hugging Face blog. This development may interest builders working on multimodal applications.

Key takeaways
  • New alignment method for vision language models using trust region policy optimization.
  • Aims to improve performance on multimodal tasks.
  • Code and details available on Hugging Face blog.
HHugging Face Blog#multimodal#vision-language#alignment
modelsDec 5

Welcome PaliGemma 2 – New vision language models by Google

Google released PaliGemma 2, a new family of vision language models. PaliGemma 2 models are open-weights and designed for image captioning, visual question answering, and other vision-language tasks. You can use PaliGemma 2 for applications like content moderation, image retrieval, and more. The models are available on the Hugging Face Hub.

Key takeaways
  • PaliGemma 2 models are open-weights and designed for vision-language tasks.
  • The models are available on the Hugging Face Hub.
  • PaliGemma 2 targets applications like content moderation and image retrieval.
HHugging Face Blog#open-source#vision-language#google
modelsJun 24

Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models

Microsoft released Florence-2, a vision-language model that can perform tasks like image captioning and visual question answering. The model is available for fine-tuning on the Hugging Face platform. You can leverage Florence-2 for various computer vision applications. Fine-tuning allows you to adapt the model to specific use cases.

Key takeaways
  • Florence-2 is a vision-language model for tasks like image captioning.
  • Available for fine-tuning on Hugging Face.
  • Enables adaptation for specific computer vision applications.
HHugging Face Blog#vision-language#fine-tuning#open-source
modelsApr 15

Introducing Idefics2: A Powerful 8B Vision-Language Model for the community

Hugging Face has released Idefics2, an open 8B vision-language model targeting the research community and builders. The model is designed for multimodal tasks, combining text and image inputs. Idefics2 aims to facilitate research and applications in areas like visual question answering and image-text retrieval. You can access Idefics2 through the Hugging Face model hub.

Key takeaways
  • Idefics2 is an 8B open vision-language model.
  • Targets research community and builders for multimodal tasks.
  • Available on Hugging Face model hub.
HHugging Face Blog#open-source#vision-language#multimodal