Image-Text-to-Text
PEFT
Safetensors
lora
vk-education
deepvk
gqa-ru
visual-question-answering
lmms-eval
conversational
Instructions to use lockR/vk-vlm-gqa-ru-qwen35-08b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lockR/vk-vlm-gqa-ru-qwen35-08b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "lockR/vk-vlm-gqa-ru-qwen35-08b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c783af0157b84651dd60509ad74db4316ea7e9b3297a1334c31cac9cac6d7e96
- Size of remote file:
- 4.33 MB
- SHA256:
- 5c13ec4d0769b54eba56099300f2827962a43ccaae04c41abb861100dadf002c
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