Text Generation
PEFT
Safetensors
llama
lora
qlora
biomedical
healthcare
pubmed
medical
question-answering
Instructions to use llmithull/HealthGPT-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llmithull/HealthGPT-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained(".models/base/llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "llmithull/HealthGPT-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b94c9f90128f7163b7f18551abc88b9ab00471aa8772c9477e5e9ee40af31b1
- Size of remote file:
- 18.9 MB
- SHA256:
- 2a7d3de44423fd23bc748b79cc91bd737befbf72cd5e0f707acf61d106a3f320
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