[D] How do pretrained tokenizers work?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  • I have been using the pretrained tokenizers available from the huggingface/transformers library. And they have been working well for my use case.

  • sentencepiece

    Unsupervised text tokenizer for Neural Network-based text generation.

  • For papers, take a look at references here https://github.com/google/sentencepiece

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts