anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
A static web page that teaches the many parts of training large language models, with a Chinese title and an English one. It suits engineers and students who want to read about LLM training in the browser.
LLM训练终极指南 | The Ultra-Scale Playbook is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download Ki-Seki/ultrascale-playbook-zh-cn --repo-type space --local-dir ultrascale-playbook-zh-cn cd ultrascale-playbook-zh-cn
This Space is a static web page on training large language models, titled in both Chinese and English. Its tagline in Chinese promises every side of LLM training. It needs no server, since the page is plain HTML that opens in any browser.
It suits engineers and students who want to read about large-scale model training, and web developers who want to see how a long static page is built from fragments.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| AI engineering | ML engineers | Read about the parts of LLM training | Open the page and read the section on a topic they work on |
| Education | Students and teachers | Use the page as reading material | Share the page with a study group |
| Web development | Front-end developers | Study the fragment loading in the source | Read the src folder and the build setup |
You can skip it if you need code or a tool to run, since this is reading material.
You can use it in these places:
| Use case | Who | What they get back |
|---|---|---|
| Reading online | Anyone | The playbook page in the browser |
| Offline reading | Anyone | A local copy of the page you open from a folder |
| Editing the page | Web developers | A built page you can change and rebuild |
You need these first to get the files:
The online page needs none of this. To get a local copy, follow the steps below.
pip install -U huggingface_hub hf download Ki-Seki/ultrascale-playbook-zh-cn --repo-type space --local-dir ultrascale-playbook-zh-cn cd ultrascale-playbook-zh-cn
To change the page, install the packages, build it and start the development run. Edit files under src, then build again and commit the dist folder.
npm install npm run build npm run dev
Open the Space in a browser, or open dist/index.html from your downloaded folder, and read. If you edit the page, the commands below do the work.
| Tool | What it does |
|---|---|
| npm install | Installs the packages the page build needs |
| npm run build | Builds the page into the dist folder |
| npm run dev | Starts the development run, and its console lists the available fragments |
You download the Space and open dist/index.html in your browser. The playbook page opens locally and you read it without an internet connection to the Space.
If you are new to this, open the Space page in your browser and read from the top. No setup is needed, and you can come back to any part later.
If you know the field, the interesting part is the build. Fragments of HTML can be compiled into the page at build time or fetched when the page runs. Compile-time fragments suit the parts every visitor must see at once, such as a logo, and run-time fragments keep the final HTML small, ideally under 1 MB.
The page is static, so it works as a document and does not run models or take your input.
A static web page that teaches the many parts of training large language models, with a Chinese title and an English one. It suits engineers and students who want to read about LLM training in the browser.
Made by Ki-Seki on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space is a static web page on training large language models, titled in both Chinese and English. Its tagline in Chinese promises every side of LLM training. It needs no server, since the page is plain HTML that opens in any browser.
Who it suits: It suits engineers and students who want to read about large-scale model training, and web developers who want to see how a long static page is built from fragments.
Industry | Who uses it | How they use it | Example
AI engineering | ML engineers | Read about the parts of LLM training | Open the page and read the section on a topic they work on
Education | Students and teachers | Use the page as reading material | Share the page with a study group
Web development | Front-end developers | Study the fragment loading in the source | Read the src folder and the build setup
You can skip it if you need code or a tool to run, since this is reading material.
Where to use it: You can use it in these places:
Use case | Who | What they get back
Reading online | Anyone | The playbook page in the browser
Offline reading | Anyone | A local copy of the page you open from a folder
Editing the page | Web developers | A built page you can change and rebuild
How to set it up: You need these first to get the files:
The online page needs none of this. To get a local copy, follow the steps below.
pip install -U huggingface_hub
hf download Ki-Seki/ultrascale-playbook-zh-cn --repo-type space --local-dir ultrascale-playbook-zh-cn
cd ultrascale-playbook-zh-cn
To change the page, install the packages, build it and start the development run. Edit files under src, then build again and commit the dist folder.
npm install
npm run build
npm run dev
How to use it: Open the Space in a browser, or open dist/index.html from your downloaded folder, and read. If you edit the page, the commands below do the work.
Tool | What it does
npm install | Installs the packages the page build needs
npm run build | Builds the page into the dist folder
npm run dev | Starts the development run, and its console lists the available fragments
Example: You download the Space and open dist/index.html in your browser. The playbook page opens locally and you read it without an internet connection to the Space.
For newcomers and experts: If you are new to this, open the Space page in your browser and read from the top. No setup is needed, and you can come back to any part later.
If you know the field, the interesting part is the build. Fragments of HTML can be compiled into the page at build time or fetched when the page runs. Compile-time fragments suit the parts every visitor must see at once, such as a logo, and run-time fragments keep the final HTML small, ideally under 1 MB.
Edit files under src
npm run build compiles the page
The dist folder holds the result
You commit the dist folder
The Space serves dist/index.html
Good to know: The page is static, so it works as a document and does not run models or take your input.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| LLM训练终极指南 | The Ultra-Scale Playbook This page | 281 | static | apache-2.0 | |
| The Ultra-Scale PlaybookShares static | 4,131 | static | apache-2.0 | |
| Attention VisualizationShares static | 200 | static | apache-2.0 | |
| Number Tokenization BlogShares static | 127 | static | mit | |
| Train the agent slidesShares static | 20 | static | apache-2.0 | |
| Le TubeShares static | 5 | static | odc-by |
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