README.md

metadata

license: apache-2.0
language:
  - zh
tags:
  - bert
  - classical chinese
  - pytorch
  - text-classification
library_name: transformers
widget:
  - text: 我喜欢看电影
    output:
      - label: POSITIVE
        score: 0.8
      - label: NEGATIVE
        score: 0.2
pipeline_tag: token-classification

My Model

Model description

Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools.

How to use

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("ziqin/my-model")
model = AutoModel.from_pretrained("ziqin/my-model")

About Us

We are from Sugon.

Other metadata

library_name: transformers

widget:

• text: 我喜欢看电影 output:
  • label: POSITIVE score: 0.8
  • label: NEGATIVE score: 0.2