Instructions to use HUBioDataLab/SELFormer-Lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HUBioDataLab/SELFormer-Lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HUBioDataLab/SELFormer-Lite")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HUBioDataLab/SELFormer-Lite") model = AutoModelForMaskedLM.from_pretrained("HUBioDataLab/SELFormer-Lite") - Notebooks
- Google Colab
- Kaggle
| license: gpl | |
| ## Citation | |
| For the [paper](https://arxiv.org/abs/2304.04662): | |
| ```bibtex | |
| @misc{yüksel2023selformer, | |
| title={SELFormer: Molecular Representation Learning via SELFIES Language Models}, | |
| author={Atakan Yüksel and Erva Ulusoy and Atabey Ünlü and Gamze Deniz and Tunca Doğan}, | |
| year={2023}, | |
| eprint={2304.04662}, | |
| archivePrefix={arXiv}, | |
| primaryClass={q-bio.QM} | |
| } | |
| ``` | |
| ## License | |
| Copyright (C) 2023 HUBioDataLab | |
| This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. | |
| This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. | |
| You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/. | |