---
title: multicite-multilabel-scibert
canonical_url: "https://www.modelscope.cn/models/LLM-Research/multicite-multilabel-scibert"
md_url: "https://www.modelscope.cn/models/LLM-Research/multicite-multilabel-scibert.md"
repository: LLM-Research/multicite-multilabel-scibert
last_updated: 2025-02-26
license: mit
pipeline_tag: text-classification
tasks:
  - text-classification
model_type:
  - bert
architectures:
  - BertForSequenceClassification
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 1888
stars: 0
tags:
  - scibert
---

# multicite-multilabel-scibert

> multicite-multilabel-scibert - LLM-Research 在 ModelScope 开源的模型。MultiCite: Multi-label Citation Intent Classification with SciBERT (NAACL 2022)

LLM-Research/multicite-multilabel-scibert 是 ModelScope 魔搭社区上的text-classification模型，采用 mit 许可，可用 deploy_task emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: LLM-Research/multicite-multilabel-scibert
- **License**: mit
- **Tasks**: text-classification
- **Inference backends**: deploy_task emb, sglang 0.5.2, vllm 0.9.2
- **Tags**: scibert
- **Downloads**: 1888
- **Stars**: 0
- **Last updated**: 2025-02-26

Source: https://www.modelscope.cn/models/LLM-Research/multicite-multilabel-scibert

---

# MultiCite: Multi-label Citation Intent Classification with SciBERT (NAACL 2022)

This model has been trained on the data available here: https://github.com/allenai/multicite