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:
- a59c80b9f898653165df3cf05a3c89bbc5a6a0865b7256be99c15b5c143de04a
- Size of remote file:
- 6.16 kB
- SHA256:
- c6c5ae63f5ecd2b63b9e730d8c4e9bd14c8065d94e890b963ef26d9d377b00df
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