wtok: rebalance training sets for whisper
Count and truncate text based on tokens one sentence at a time
Background
Whisper models conditional distributions of a token given a sequence of past tokens
This tool can count tokens, using OpenAI's tiktoken library.
It can also truncate text to a specified number of tokens.
Installation
Install this tool using pip:
pip install wtok
Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd wtok
python -m venv venv
source venv/bin/activate
Now install for editing:
pip install -e .
Metadata
Release files for wtok 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wtok-0.6.1.tar.gz | 8.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wtok-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.4 kB
Release files / wtok-0.6.1.tar.gz
| Download URL | wtok-0.6.1.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Release files / wtok-0.6.1-py3-none-any.whl
| Download URL | wtok-0.6.1-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|