Image-Text-to-Text
PEFT
Safetensors
Korean
lora
vision-language
korean
pest-detection
agriculture
qwen
qwen3
image-classification
conversational
Eval Results (legacy)
Instructions to use pfox1995/pest-detector-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pfox1995/pest-detector-final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "pfox1995/pest-detector-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 849dc8b7e11f6168f351ae36c0bc202631bbeed65395aad11a147760e8feecf3
- Size of remote file:
- 20 MB
- SHA256:
- 4ee378335b781c530a9c70c965ff5c81b55c56970781e1d477abca5c6d270b2b
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