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:
- cadddc96b5e7f68a95d3ed5b823c175894e89f8a478dbdd3696b85d5730353a7
- Size of remote file:
- 35 MB
- SHA256:
- 8f1c4074a849c1fd34b23f300054a33611ae10f110de8f42126bd6add6159e44
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