Dataset Preparation for Transformers Fine-tuning
The Dataset Prep Transformers package simplifies the process of preparing datasets for fine-tuning or training various large language models available in the Hugging Face Transformers library. Whether you're using a model from the Hugging Face repository or have your own dataset, this package streamlines the data integration for a seamless training experience.
Features
- Easily integrate your dataset with Hugging Face Transformers models for training or fine-tuning.
- Specify the model repository ID and dataset from the Hugging Face library to automatically fetch and configure the data.
- Seamlessly incorporate your custom dataset by providing it as input to the package.
- new: custom map function => map_function = your_function (having the facility of tokenization)
Installation
You can install the package using pip:
pip install yDataPrep
Metadata
Release files for yDataPrep 0.0.1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| yDataPrep-0.0.1.2.1.tar.gz | 3.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| yDataPrep-0.0.1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.4 kB
Release files / yDataPrep-0.0.1.2.1.tar.gz
| Download URL | yDataPrep-0.0.1.2.1.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
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Release files / yDataPrep-0.0.1.2.1-py3-none-any.whl
| Download URL | yDataPrep-0.0.1.2.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
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