Instructions to use KnightRez/SciFive-Flashcard-LoRA-Prototype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KnightRez/SciFive-Flashcard-LoRA-Prototype with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KnightRez/SciFive-Flashcard-LoRA-Prototype", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for results
This LoRA model is a fine-tuned version of razent/SciFive-base-PMC. It has been trained using TRL.
Training procedure
This model was trained with SFT.
Framework versions
- TRL: 0.23.1
- Transformers: 4.56.1
- Pytorch: 2.8.0+cu126
- Datasets: 4.0.0
- Tokenizers: 0.22.0
Citations
Cite TRL as:
@misc{vonwerra2022trl,
title = {{TRL: Transformer Reinforcement Learning}},
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
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