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:
- ce995cd53eb7359ddf674fc6ab19fb28e81cf06cacfdf9bcf0a9b5a4e5a5fa62
- Size of remote file:
- 35 MB
- SHA256:
- 3b7537623d0c28754c41f98b9dc456350c9615c8578d146e562c3855fd25f52a
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