| --- |
| license: apache-2.0 |
| language: |
| - en |
| base_model: |
| - Qwen/Qwen3-Embedding-8B |
| --- |
| ## LEXA-8B |
|  |
| 👉 **LEXA-8B**: LEXA: Legal Case Retrieval via Graph Contrastive Learning with Contextualised LLM Embeddings. More information is available in [**arXiv**](https://arxiv.org/abs/2405.11791) & [**GitHub**](https://github.com/yanran-tang/CaseGNN). |
|
|
| ## Example Usage |
|
|
| ```python |
| from transformers import AutoModel, AutoTokenizer |
| model = AutoModel.from_pretrained("AnnaStudy/LEXA-8B", torch_dtype="auto", device_map="auto") |
| tokenizer = AutoTokenizer.from_pretrained("AnnaStudy/LEXA-8B") |
| case_txt = "The following contains key components of a legal case. Legal facts..." |
| tokenized = tokenizer(case_txt, return_tensors='pt', padding=True, truncation=True, max_length=2048) |
| outputs = model(**tokenized) |
| case_embedding = outputs.last_hidden_state[:, -1] |
| ``` |
| ## Base Model |
|
|
| ReaKase-8B is finetuned from **Qwen3-Embedding-8B**, which provides the underlying semantic representation capability. |
|
|
| Reference: [Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) |
|
|
| ## Cite |
| If you find this repo useful, please cite |
| ``` |
| @article |
| {LEXA-8B, |
| author = {Yanran Tang, Ruihong Qiu, Xue Li, Zi Huang}, |
| title = {LEXA: Legal Case Retrieval via Graph Contrastive Learning with Contextualised LLM Embeddings}, |
| journal = {CoRR}, |
| volume = {abs/2405.11791}, |
| year = {2025} |
| } |
| ``` |
