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
Add LoRA CM with UNKNOWN column
Browse files
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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confusion_matrix_baseline_final.png filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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confusion_matrix_baseline_final.png filter=lfs diff=lfs merge=lfs -text
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confusion_matrix_final_with_unknown.png filter=lfs diff=lfs merge=lfs -text
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confusion_matrix_final_with_unknown.png
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Git LFS Details
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