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SESAME
tsunghanwu/SESAME
SESAME is a text generation model from tsunghanwu. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
- Model type: SESAME is an open-source multimodal model trained by fine-tuning LLaVA on various instruction-based image grounding (segmentation) data. It is an auto-regressive language model plus a segmentation model.…
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- llava
- Access
- Public
- Created
- Jun 14, 2024
- Updated
- Jun 16, 2024
- SHA
- 1c9158c6
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Model card
From the Hugging Face model README
SESAME
- Model type: SESAME is an open-source multimodal model trained by fine-tuning LLaVA on various instruction-based image grounding (segmentation) data. It is an auto-regressive language model plus a segmentation model.
- Paper or resources for more information: https://see-say-segment.github.io/
- Where to send questions or comments about the model: https://github.com/see-say-segment/sesame/issues
- Intended use
- Primary intended uses: The primary use of SESAME is research on large multimodal models and chatbots.
- Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
- Training dataset: (FP-/R-)RefCOCO(+/g) + LLaVA 150K VQA data
- Task
- Text Generation
- Library
- transformers
- Type
- llava
- License
- mit
- Created
- Jun 14, 2024
- Updated
- Jun 16, 2024