open-source-metrics/tokenizers-dependents

---
license: apache-2.0
pretty_name: tokenizers metrics
tags:
- github-stars
dataset_info:
features:
- name: name
dtype: string
- name: stars
dtype: int64
- name: forks
dtype: int64
splits:
- name: package
num_bytes: 95
num_examples: 2
- name: repository
num_bytes: 1893
num_examples: 42
download_size: 5046
dataset_size: 1988
---

# tokenizers metrics

This dataset contains metrics about the huggingface/tokenizers package.

Number of repositories in the dataset: 11460
Number of packages in the dataset: 124

## Package dependents

This contains the data available in the [used-by](https://github.com/huggingface/tokenizers/network/dependents)
tab on GitHub.

### Package & Repository star count

This section shows the package and repository star count, individually.

Package | Repository
:-------------------------:|:-------------------------:
 | 

There are 14 packages that have more than 1000 stars.

There are 41 repositories that have more than 1000 stars.

The top 10 in each category are the following:

*Package*

[huggingface/transformers](https://github.com/huggingface/transformers): 70475

[hankcs/HanLP](https://github.com/hankcs/HanLP): 26958

[facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 9439

[UKPLab/sentence-transformers](https://github.com/UKPLab/sentence-transformers): 8461

[lucidrains/DALLE-pytorch](https://github.com/lucidrains/DALLE-pytorch): 4816

[ThilinaRajapakse/simpletransformers](https://github.com/ThilinaRajapakse/simpletransformers): 3303

[neuml/txtai](https://github.com/neuml/txtai): 2530

[QData/TextAttack](https://github.com/QData/TextAttack): 2087

[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR): 1981

[utterworks/fast-bert](https://github.com/utterworks/fast-bert): 1760

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 70480

[hankcs/HanLP](https://github.com/hankcs/HanLP): 26958

[RasaHQ/rasa](https://github.com/RasaHQ/rasa): 14842

[facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 9440

[gradio-app/gradio](https://github.com/gradio-app/gradio): 9169

[UKPLab/sentence-transformers](https://github.com/UKPLab/sentence-transformers): 8462

[microsoft/unilm](https://github.com/microsoft/unilm): 6650

[EleutherAI/gpt-neo](https://github.com/EleutherAI/gpt-neo): 6431

[moyix/fauxpilot](https://github.com/moyix/fauxpilot): 6300

[lucidrains/DALLE-pytorch](https://github.com/lucidrains/DALLE-pytorch): 4816

### Package & Repository fork count

This section shows the package and repository fork count, individually.

Package | Repository
:-------------------------:|:-------------------------:
 | 

There are 11 packages that have more than 200 forks.

There are 39 repositories that have more than 200 forks.

The top 10 in each category are the following:

*Package*

[huggingface/transformers](https://github.com/huggingface/transformers): 16158

[hankcs/HanLP](https://github.com/hankcs/HanLP): 7388

[facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 1920

[UKPLab/sentence-transformers](https://github.com/UKPLab/sentence-transformers): 1695

[ThilinaRajapakse/simpletransformers](https://github.com/ThilinaRajapakse/simpletransformers): 658

[lucidrains/DALLE-pytorch](https://github.com/lucidrains/DALLE-pytorch): 543

[utterworks/fast-bert](https://github.com/utterworks/fast-bert): 336

[nyu-mll/jiant](https://github.com/nyu-mll/jiant): 273

[QData/TextAttack](https://github.com/QData/TextAttack): 269

[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR): 245

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 16157

[hankcs/HanLP](https://github.com/hankcs/HanLP): 7388

[RasaHQ/rasa](https://github.com/RasaHQ/rasa): 4105

[plotly/dash-sample-apps](https://github.com/plotly/dash-sample-apps): 2795

[facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 1920

[UKPLab/sentence-transformers](https://github.com/UKPLab/sentence-transformers): 1695

[microsoft/unilm](https://github.com/microsoft/unilm): 1223

[openvinotoolkit/open_model_zoo](https://github.com/openvinotoolkit/open_model_zoo): 1207

[bhaveshlohana/HacktoberFest2020-Contributions](https://github.com/bhaveshlohana/HacktoberFest2020-Contributions): 1020

[data-science-on-aws/data-science-on-aws](https://github.com/data-science-on-aws/data-science-on-aws): 884

原始信息汇总

数据集概述

数据集名称

tokenizers metrics

许可证

apache-2.0

标签

• github-stars

数据集信息

特征

• name: 字符串类型
• stars: 整数类型（int64）
• forks: 整数类型（int64）

分割

• package:
  • 字节数: 95
  • 示例数: 2
• repository:
  • 字节数: 1893
  • 示例数: 42

下载大小

5046字节

数据集大小

1988字节

数据集内容

仓库和包统计

• 仓库数量: 11460
• 包数量: 124

星数统计

• 超过1000星的包数量: 14
• 超过1000星的仓库数量: 41

叉数统计

• 超过200叉的包数量: 11
• 超过200叉的仓库数量: 39

顶级仓库和包

• 包

  • huggingface/transformers: 70475星
  • hankcs/HanLP: 26958星
  • facebookresearch/ParlAI: 9439星
  • UKPLab/sentence-transformers: 8461星
  • lucidrains/DALLE-pytorch: 4816星
  • ThilinaRajapakse/simpletransformers: 3303星
  • neuml/txtai: 2530星
  • QData/TextAttack: 2087星
  • lukas-blecher/LaTeX-OCR: 1981星
  • utterworks/fast-bert: 1760星

• 仓库

  • huggingface/transformers: 70480星
  • hankcs/HanLP: 26958星
  • RasaHQ/rasa: 14842星
  • facebookresearch/ParlAI: 9440星
  • gradio-app/gradio: 9169星
  • UKPLab/sentence-transformers: 8462星
  • microsoft/unilm: 6650星
  • EleutherAI/gpt-neo: 6431星
  • moyix/fauxpilot: 6300星
  • lucidrains/DALLE-pytorch: 4816星