DOM tokenizers
DOM-aware tokenization for Hugging Face language models.
TL;DR
Input:
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=utf-8">
<meta name="viewport" content="width=device-width">
<title>Hello world</title>
<script>
document.getElementById("demo").innerHTML = "Hello JavaScript!";
</script>
...
Output:
Installation
With PIP
pip install dom-tokenizers[train]
From sources
git clone https://github.com/gbenson/dom-tokenizers.git
cd dom-tokenizers
python3 -m venv .venv
. .venv/bin/activate
pip install --upgrade pip
pip install -e .[dev,train]
Train a tokenizer
On the command line
Check everything's working using a small dataset of around 300 examples:
train-tokenizer gbenson/interesting-dom-snapshots
Train a tokenizer with a 10,000-token vocabulary using a dataset of 4,536 examples and upload it to the Hub:
train-tokenizer gbenson/webui-dom-snapshots -n 10000 -N 4536
huggingface-cli login
huggingface-cli upload dom-tokenizer-10k
1 maintainer
Metadata
1 maintainer
Release files for dom-tokenizers 0.0.17
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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Total release size: 113.7 kB
Release files / dom_tokenizers-0.0.17.tar.gz
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| Tags | Python 3 |
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