Model reference · open weights

ernie-3.0-nano-zh

Available as managed deployment Embeddings nghuyong · community Embeddings 1 variants 1k dl/mo

ernie-3.0-nano-zh is an open-weight embedding model from nghuyong. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released bynghuyong
TypeEmbedding models
TaskEmbeddings
Context2k tokens
Runs withtransformers
Released2022-08-22
Popularity1k downloads / month
LicenceUnknown

About

What ernie-3.0-nano-zh is

Introduction

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation More detail: https://arxiv.org/abs/2107.02137

Released Model Info

This released pytorch model is converted from the officially released PaddlePaddle ERNIE model and a series of experiments have been conducted to check the accuracy of the conversion.

Read the full model card
  • Official PaddlePaddle ERNIE repo:https://paddlenlp.readthedocs.io/zh/latest/model_zoo/transformers/ERNIE/contents.html
  • Pytorch Conversion repo: https://github.com/nghuyong/ERNIE-Pytorch

How to use

from transformers import BertTokenizer, ErnieModel

tokenizer = BertTokenizer.from_pretrained("nghuyong/ernie-3.0-nano-zh")
model = ErnieModel.from_pretrained("nghuyong/ernie-3.0-nano-zh")

Citation

@article{sun2021ernie,
  title={Ernie 3.0: Large-scale knowledge enhanced pre-training for language understanding and generation},
  author={Sun, Yu and Wang, Shuohuan and Feng, Shikun and Ding, Siyu and Pang, Chao and Shang, Junyuan and Liu, Jiaxiang and Chen, Xuyi and Zhao, Yanbin and Lu, Yuxiang and others},
  journal={arXiv preprint arXiv:2107.02137},
  year={2021}
}

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys ernie-3-0-nano-zh for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ernie-3-0-nano-zh below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"ernie-3-0-nano-zh","input":"text to embed"}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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