Instructions to use ivan123-123/preparing.ai-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivan123-123/preparing.ai-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "ivan123-123/preparing.ai-lora") - Notebooks
- Google Colab
- Kaggle
preparing.ai LoRA adapter
Adapter-only artifact for ivan123-123/preparing.ai (119 MB).
import torch
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
from peft import PeftModel
base = Qwen2_5_VLForConditionalGeneration.from_pretrained(
"Qwen/Qwen2.5-VL-3B-Instruct", torch_dtype=torch.bfloat16, device_map="auto")
model = PeftModel.from_pretrained(base, "ivan123-123/preparing.ai-lora")
processor = AutoProcessor.from_pretrained("ivan123-123/preparing.ai")
Prefer the full merged model (ivan123-123/preparing.ai) for deployment - it has no extra load step.
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Base model
Qwen/Qwen2.5-VL-3B-Instruct