# datawhalechina/learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

Repository: https://github.com/datawhalechina/learn-nlp-with-transformers
Canonical: https://ross.abutalabs.com/products/learn-nlp-with-transformers
Homepage: https://datawhalechina.github.io/learn-nlp-with-transformers
Language: Shell
License Family: other
Topics: transformer, nlp, bert
Last push: 2024-08-18T12:14:29+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1970, "days_push": 745, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3365, forks 520 (observed 2026-08-28T04:07:58.263940+00:00)

## What it is
A Chinese-language open-source tutorial repository teaching natural language processing with the Transformers library, covering models like BERT. It is a Datawhale community learning resource with accompanying documentation site.

## Use cases
- learn nlp with transformers in chinese
- understand how bert works
- get started with huggingface transformers
- study transformer architecture from scratch
- chinese tutorial for nlp deep learning

## When to choose
- you prefer learning NLP and Transformers in Chinese
- you want a structured community course with examples
- you are a beginner to BERT and transformer models

## When to avoid
- you need production NLP code or a maintained library
- you need English-language materials
- you need up-to-date coverage of the latest LLM techniques

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, deep-learning
- domain: deep-learning, tutorials, large-language-models
- platform: python
- tags: chinese-language, transformers, bert, huggingface, datawhale, educational, natural-language-processing

## Member repositories
- datawhalechina/learn-nlp-with-transformers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.263940+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:40:17.892576+00:00, confidence not recorded.
  - homepage: https://datawhalechina.github.io/learn-nlp-with-transformers (fetched 2026-08-29T09:33:38.102846+00:00, sha 509787e9bc9d)
- Data as of 2026-08-30T08:39:29.467469+00:00.