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@@ -71,6 +71,10 @@ This setup preserved general reasoning ability while improving spatial accuracy.
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  # Usage and Intended Uses
 
 
 
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
 
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  # Usage and Intended Uses
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+ This model is designed to assist with natural language spatial reasoning, particularly in tasks that involve multi-step relational
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+ inference between objects or locations described in text. This could be implemented in agentic spatial systems and/or text-based game bots.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM