Add model card

This PR adds a model card to this repository, linking it to the paper and the associated code. It also adds relevant metadata tags to improve discoverability and usability.

README.md

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+pipeline_tag: text-generation
+library_name: transformers
+license: mit
+---
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+# FETCH: Efficient Tree Search for LLM Reasoning
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+This repository contains model checkpoints for the FETCH framework, as described in the paper [Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls](https://arxiv.org/abs/2502.11183).
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+The FETCH framework improves the efficiency and accuracy of LLM-based reasoning by addressing over-exploration and under-exploration issues in tree search algorithms.
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+Pre-trained models mentioned in the paper's README are available on Hugging Face Hub:
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+- **Policy:** [`xmu-nlp/Llama-3-8b-gsm8k`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k)
+- **Verifier:** [`xmu-nlp/Llama-3-8b-gsm8k-value-A`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k-value-A) and [`xmu-nlp/Llama-3-8b-gsm8k-value-B`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k-value-B)
+- **Embedding:** [`xmu-nlp/simcse-large-gsm8k`](https://huggingface.co/xmu-nlp/simcse-large-gsm8k)
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+For more details and usage instructions, please refer to the [GitHub repository](https://github.com/xmu-nlp/FETCH).