tokenizers

Tokenizers convert text into numerical representations (tokens) that models can process. They handle special tokens, padding, truncation, and attention masks.

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
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Install (Claude Code)

mkdir -p .claude/skills/tokenizers && curl -fsSL https://doutorai.pt/data/lib/skills__tokenizers.md -o .claude/skills/tokenizers/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Tokenizers

## Overview

Tokenizers convert text into numerical representations (tokens) that models can process. They handle special tokens, padding, truncation, and attention masks.

## Loading Tokenizers

### AutoTokenizer

Automatically load the correct tokenizer for a model:

```python
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
```

Load from local path:
```python
tokenizer = AutoTokenizer.from_pretrained("./local/tokenizer/path")
```

## Basic Tokenization

### Encode Text

```python
# Simple encoding
text = "Hello, how are yo

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