Instructions to use Sepideh2027/PathogenAgentAI-BioGPT-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sepideh2027/PathogenAgentAI-BioGPT-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/biogpt") model = PeftModel.from_pretrained(base_model, "Sepideh2027/PathogenAgentAI-BioGPT-LoRA") - Notebooks
- Google Colab
- Kaggle
Download CITATION.cff from Sepideh2027/PathogenAgentAI-BioGPT-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
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https://huggingface.co/Sepideh2027/PathogenAgentAI-BioGPT-LoRA/resolve/main/CITATION.cff
- Command line
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hf download hf://Sepideh2027/PathogenAgentAI-BioGPT-LoRA/CITATION.cff
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curl -L -o CITATION.cff https://huggingface.co/Sepideh2027/PathogenAgentAI-BioGPT-LoRA/resolve/main/CITATION.cff
421 Bytes
| cff-version: 1.2.0 | |
| title: "PathogenAgentAI-BioGPT LoRA Adapter" | |
| message: "If you use this adapter in research, please cite it as below." | |
| type: software | |
| authors: | |
| - family-names: Moafi | |
| given-names: Sepideh | |
| repository-code: "https://huggingface.co/Sepideh2027/PathogenAgentAI-BioGPT-LoRA" | |
| license: MIT | |
| year: 2025 | |
| keywords: | |
| - LoRA | |
| - PEFT | |
| - BioGPT | |
| - biomedical AI | |
| - ClinVar | |
| - parameter-efficient fine-tuning |