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:
- 657206dd8e097587bad133d6d508a2b02c28ea23ee682ca80f63f3421f8a5bd7
- Size of remote file:
- 5.14 kB
- SHA256:
- 51dbf8c4cce4c6192b7bf7dc1acc78f773e46df273f7d01262da666ed6b0f0d2
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