Instructions to use finnlueth/ProtProfileMD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use finnlueth/ProtProfileMD with PEFT:
Task type is invalid.
- Transformers
How to use finnlueth/ProtProfileMD with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("finnlueth/ProtProfileMD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| base_model: 'ProtProfileMD' | |
| library_name: peft | |
| tags: | |
| - 'base_model:adapter:' | |
| - lora | |
| - transformers | |
| - protein language model | |
| - molecular dynamics | |
| # Model Card for Model ID | |
| ProtProfileMD: Protein Language Modeling beyond static folds reveals sequence-encoded flexibility | |
| Manuscript: https://www.biorxiv.org/content/10.64898/2026.01.21.700698v1 | |
| GitHub: https://github.com/finnlueth/ProtProfileMD | |
| ### Model Description | |
| - **License:** MIT | |
| - **LoRA adapter for ProstT5:** https://huggingface.co/Rostlab/ProstT5 |