ONNX Model Zoo

geofqiu0/rbt3-ONNX

By geofqiu0 · ↓ 0 · ♥ 0 · Updated 2025-11-19

What's in this repo

This page lists the files in geofqiu0/rbt3-ONNX, including model.onnx, model_bnb4.onnx, model_fp16.onnx and more.

  • 8 ONNX models (.onnx files)
  • 16 files, including 8 .onnx, 5 .json, 1 .md, 1 .txt
  • Last updated 2025-11-19

ONNX files

File Size Download
onnx/model.onnx — Download
onnx/model_bnb4.onnx — Download
onnx/model_fp16.onnx — Download
onnx/model_int8.onnx — Download
onnx/model_q4.onnx — Download
onnx/model_q4f16.onnx — Download
onnx/model_quantized.onnx — Download
onnx/model_uint8.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

rbt3 (ONNX)

This is an ONNX version of hfl/rbt3. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for fill-mask: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.FillMaskPipeline


This is a re-trained 3-layer RoBERTa-wwm-ext model.

Chinese BERT with Whole Word Masking

For further accelerating Chinese natural language processing, we provide Chinese pre-trained BERT with Whole Word Masking.

Pre-Training with Whole Word Masking for Chinese BERT
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu

This repository is developed based on:https://github.com/google-research/bert

You may also interested in,

  • Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm
  • Chinese MacBERT: https://github.com/ymcui/MacBERT
  • Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA
  • Chinese XLNet: https://github.com/ymcui/Chinese-XLNet
  • Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer

More resources by HFL: https://github.com/ymcui/HFL-Anthology

Citation

If you find the technical report or resource is useful, please cite the following technical report in your paper.

  • Primary: https://arxiv.org/abs/2004.13922
@inproceedings{cui-etal-2020-revisiting,
    title = "Revisiting Pre-Trained Models for {C}hinese Natural Language Processing",
    author = "Cui, Yiming  and
      Che, Wanxiang  and
      Liu, Ting  and
      Qin, Bing  and
      Wang, Shijin  and
      Hu, Guoping",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.findings-emnlp.58",
    pages = "657--668",
}
  • Secondary: https://arxiv.org/abs/1906.08101
@article{chinese-bert-wwm,
  title={Pre-Training with Whole Word Masking for Chinese BERT},
  author={Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Yang, Ziqing and Wang, Shijin and Hu, Guoping},
  journal={arXiv preprint arXiv:1906.08101},
  year={2019}
 }

Model info

fill-mask transformers.js
transformers.js onnx bert fill-mask zh arxiv:1906.08101 arxiv:2004.13922 base_model:hfl/rbt3 base_model:quantized:hfl/rbt3 license:apache-2.0 region:us
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Created: 2025-11-19

Updated: 2025-11-19

View on Hugging Face

Files (16)

.gitattributes
README.md
config.json
onnx/model.onnx ONNX
onnx/model_bnb4.onnx ONNX
onnx/model_fp16.onnx ONNX
onnx/model_int8.onnx ONNX
onnx/model_q4.onnx ONNX
onnx/model_q4f16.onnx ONNX
onnx/model_quantized.onnx ONNX
onnx/model_uint8.onnx ONNX
quantize_config.json
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.txt

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