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Coref Bert Base by nielsr

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  Arxiv:2004.06870   Dataset:docred   Dataset:fever   Dataset:gap   Dataset:nyu-mll/glue   Dataset:quoref   Dataset:wikipedia   Dataset:winogender   Dataset:winograd wsc   En   Endpoints compatible   Exbert   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/nielsr/coref-bert-base 

Coref Bert Base Benchmarks

LLME Score: 0.00166
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Coref Bert Base (nielsr/coref-bert-base)

Coref Bert Base Parameters and Internals

Model Type 
transformers, language representation
Additional Notes 
Pretrained model focused on coreferential reasoning.
Supported Languages 
English (high)
Training Details 
Data Sources:
wikipedia, quoref, docred, fever, gap, winograd_wsc, winogender, nyu-mll/glue
Methodology:
Masked Language Modeling (MLM) and Mention Reference Prediction (MRP)
LLM NameCoref Bert Base
Repository 🤗https://huggingface.co/nielsr/coref-bert-base 
Required VRAM0.4 GB
Updated2025-02-05
Maintainernielsr
Model Files  0.4 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Context Length512
Model Max Length512
Vocabulary Size28996

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Note: green Score (e.g. "73.2") means that the model is better than nielsr/coref-bert-base.

Rank the Coref Bert Base Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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