Image-Text-to-Text
PEFT
Safetensors
English
vision-language
blockchain-security
attack-detection
lora
agentic-economy
dogon
rocm
amd
conversational
Instructions to use Ibonon/imina_na_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ibonon/imina_na_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "Ibonon/imina_na_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbe8add85b0153d948a9d411a1b386054267dea5707a2ba8a065b85ee182c4a6
- Size of remote file:
- 35 MB
- SHA256:
- 24c4296c0475ad25b941207206aabd1b9cfc279018c28a90a02a23d41082d2e5
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