Image-Text-to-Text
PEFT
Safetensors
English
vision-language
camouflaged-object-detection
reinforcement-learning
lora
qwen3-vl
Instructions to use cfcamo/cfcamo-rl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cfcamo/cfcamo-rl-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/autodl-fs/data/cfcamo/sft_artifacts/sft_v4_r1to1_4b/final") model = PeftModel.from_pretrained(base_model, "cfcamo/cfcamo-rl-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ff244701d28d3a70272e8bd3c278e66eaa2a33759faf8739b2acb80fcc3815f
- Size of remote file:
- 529 MB
- SHA256:
- 63939bf147cb323d38d499c2304ee66cd5a12f3ff11f7559efd472d748667ec7
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