Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Tokenize fast and train a BPE vocabulary v1.0.0

Use this resource to tokenize large volumes of text and train a custom vocabulary

New

  • 526 downloads
  • 135 likes
  • 101 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install fast-tokenizers-bpe-training

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent loads a pretrained tokenizer or trains one on your corpus, then encodes and decodes your texts while keeping track of each token's original position. You get a tokenizer ready for your NLP pipeline.

Mostly picked by

Updated November 2, 2026

Card for the “Tokenize fast and train a BPE vocabulary” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: quick start, installation and integration with transformers
  • references/: algorithms, integration, pipeline and training

Good fit for

  • You need to tokenize several gigabytes of text quickly
  • You are building a vocabulary for a specialised domain that existing models cover poorly

Not for

    Tags

    • tokenizer
    • bpe
    • nlp
    • hugging face
    • vocabulary

    About

    You say

    “Train a 32,000-token BPE tokenizer on my legal corpus.”

    Card for the “Tokenize fast and train a BPE vocabulary” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to tokenize large volumes of text and train a custom vocabulary
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/algorithms.md14.8 KB
    • references/integration.md15 KB
    • references/pipeline.md16.4 KB
    • references/training.md14.2 KB
    • SKILL.md13.1 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/huggingface-tokenizers
    Licence
    MIT

    Notice

    « huggingface-tokenizers » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.