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Coref Roberta Large by nielsr

By nielsr · 9 downloads

Coref Roberta Large is an open-source language model by nielsr. Features: 356.5m LLM, VRAM: 1.4GB, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.

  Arxiv:2004.06870   Dataset:docred   Dataset:fever   Dataset:gap   Dataset:glue   Dataset:quoref   Dataset:wikipedia   Dataset:winogender   Dataset:winograd wsc   En   Endpoints compatible   Exbert   Pytorch   Region:us   Safetensors

Coref Roberta Large Parameters and Internals

Model Type 
Masked Language Model, Mention Reference Prediction
Additional Notes 
The model card was not provided by CorefRoBERTa team and was written by a third party.
Supported Languages 
en (English)
Training Details 
Data Sources:
wikipedia, quoref, docred, fever, gap, winograd_wsc, winogender, glue
Methodology:
Pretrained using Masked Language Modeling (MLM) and Mention Reference Prediction (MRP) objectives.
Model Architecture:
Transformers
LLM NameCoref Roberta Large
Repository πŸ€—https://huggingface.co/nielsr/coref-roberta-large 
Model Size356.5m
Required VRAM1.4 GB
Updated2026-07-14
Maintainernielsr
Model Files  1.4 GB   1.4 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Context Length514
Model Max Length514
Vocabulary Size50265