You can deploy this model and start earning money today!

AnnaStudy/
LEXA-8B

Name: LEXA-8B
Rating: 2.5 (10 reviews)

safetensors

qwen3

2405.11791

Qwen/Qwen3-Embedding-8B

finetune

apache-2.0

Views

No views yet

LEXA-8B

👉 LEXA-8B: LEXA: Legal Case Retrieval via Graph Contrastive Learning with Contextualised LLM Embeddings. More information is available in arXiv & GitHub.

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

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}
}