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---
license: cc-by-4.0
library_name: transformers
pipeline_tag: table-question-answering
---
The Table-R1 model, as presented in the paper [Table-R1: Inference-Time Scaling for Table Reasoning](https://huggingface.co/papers/2505.23621), explores inference-time scaling on table reasoning tasks. It uses distillation from frontier model reasoning traces and reinforcement learning with verifiable rewards (RLVR). The model matches or exceeds the performance of GPT-4.1 and DeepSeek-R1, while using only a 7B-parameter LLM.
- **Paper:** [Table-R1: Inference-Time Scaling for Table Reasoning](https://huggingface.co/papers/2505.23621)
- **Code:** [Table-R1 Github Repository](https://github.com/Table-R1/Table-R1)
- **Project Page:** [Table-R1 Hugging Face Organization](https://huggingface.co/Table-R1) |