Bm v1

--- language: - en thumbnail: null tags: - image-classification - multimodal - tensorflow license: mit datasets: - flex_civ_vi_screens pipeline_tag: audio-text-to-text library_name: tensorflow --- # Multimodal Classification Model (BM-v1) This model combines text and image inputs to predict player moves from in-game screenshots for the popular 4X Civilization VI. In use, screenshot inputs are provided and text inputs generated using an LLM. ## Model Details - **Developed by:** BeakerStreet - **Model type:** Multimodal Classification Model - **Language(s):** English - **License:** MIT ## Uses Predicts the likely moves a player will make from a complete sample space of all (observed) player moves, based on a provided screenshot and associated text. Can be fine-tuned to specifically predict types of move (scouting, build orders, settle/doesn't settle) ### Direct Use Predicts the likely moves a player will make, from a complete sample space of all player moves, based on a provided screenshot and associated text.

Source context: 0 downloads · 3 likes · Pipeline audio-text-to-text · Library tensorflow · Repo Flex-Data/bm-v1