huggingface-tokenizers SKILL.md skillA
huggingface-tokenizers from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/huggingface-tokenizers@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
02-tokenization/huggingface-tokenizers/SKILL.md- Versions recorded
- 4
- Latest version
- v1.0.0, committed Nov 20, 2025
- First version recorded
- Nov 9, 2025
- Size
- 13,674 bytes
- Repository stars
- 13,718
- License
- MIT
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# HuggingFace Tokenizers - Fast Tokenization for NLP Fast, production-ready tokenizers with Rust performance and Python ease-of-use. ## When to use HuggingFace Tokenizers **Use HuggingFace Tokenizers when:** - Need extremely fast tokenization (<20s per GB of text) - Training custom tokenizers from scratch - Want alignment tracking (token → original text position) - Building production NLP pipelines - Need to tokenize large corpora efficiently **Performance**: - **Speed**: <20 seconds to tokenize 1GB on CPU - **Implementation**: Rust core with Python/Node.js bindings - **Efficiency**: 10-100× faster than pure Python implementations **Use alternatives instead**: - **SentencePiece**: Language-independent, used by T5/ALBERT - **tiktoken**: OpenAI's BPE tokenizer for GPT models - **transformers AutoTokenizer**: Loading pretrained only (uses this library internally) ## Quick start ### Installation ```bash # Install tokenizers pip install tokenizers # With transformers integration pip install tokenizers transformers ``` ### Load pretrained tokenizer ```python from tokenizers import Tokenizer # Load from HuggingFace Hub …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/huggingface-tokenizers@sha256:d2ff3f9eed2cb8e1The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_vueyrivtjhq2eb7u)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Nov 9, 2025 and Nov 20, 2025, about one every 4 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2025-11-20 | 72c8b2c | 13,674 B | A | view · diff |
| v1.0.0 | 2025-11-20 | f38509b | 13,673 B | A | view · diff |
| v1.0.0 | 2025-11-19 | bd4461f | 13,672 B | A | view · diff |
| git:20251109.096b8f0 | 2025-11-09 | 096b8f0 | 13,436 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13674 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vueyrivtjhq2eb7u GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/huggingface-tokenizers GET https://markdownregistry.com/api/v1/blob/d2ff3f9eed2cb8e15cb98e8e2398ca359325a32fd5d16ebfe0d115d7624583af
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.