Download the PHP package textualization/ropherta-tokenizer without Composer

On this page you can find all versions of the php package textualization/ropherta-tokenizer. It is possible to download/install these versions without Composer. Possible dependencies are resolved automatically.

FAQ

After the download, you have to make one include require_once('vendor/autoload.php');. After that you have to import the classes with use statements.

Example:
If you use only one package a project is not needed. But if you use more then one package, without a project it is not possible to import the classes with use statements.

In general, it is recommended to use always a project to download your libraries. In an application normally there is more than one library needed.
Some PHP packages are not free to download and because of that hosted in private repositories. In this case some credentials are needed to access such packages. Please use the auth.json textarea to insert credentials, if a package is coming from a private repository. You can look here for more information.

  • Some hosting areas are not accessible by a terminal or SSH. Then it is not possible to use Composer.
  • To use Composer is sometimes complicated. Especially for beginners.
  • Composer needs much resources. Sometimes they are not available on a simple webspace.
  • If you are using private repositories you don't need to share your credentials. You can set up everything on our site and then you provide a simple download link to your team member.
  • Simplify your Composer build process. Use our own command line tool to download the vendor folder as binary. This makes your build process faster and you don't need to expose your credentials for private repositories.
Please rate this library. Is it a good library?

Example code of textualization/ropherta-tokenizer

Informations about the package ropherta-tokenizer

BPE Tokenizer for Ropherta (subclass of GPT3Tokenizer)

This is just a wrapper around GPT3Tokenizer using the HuggingFace RoBERTa vocab and merge files.

See GPT3 documentation for example use (or the generated test case under tests/).

XLM Tokenizer

To use the multilingual version, the SentencePiece dependency needs to be initialized and an aditional model file needs to be downloaded:

Sponsors

We thank our sponsor:

All versions of ropherta-tokenizer with dependencies

PHP Build Version
Package Version
Requires gioni06/gpt3-tokenizer Version v1.2.0
textualization/sentencepiece Version v0.0.3
Composer command for our command line client (download client) This client runs in each environment. You don't need a specific PHP version etc. The first 20 API calls are free. Standard composer command

The package textualization/ropherta-tokenizer contains the following files

Loading the files please wait ....