PEFT
Safetensors
English
llava_next
llava
llava-next
fine-tuned
stack-overflow
qlora
images
vqa
4bit
4-bit precision
bitsandbytes
Instructions to use Narrator5000/llavanext-finetuned-stackoverflow-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Narrator5000/llavanext-finetuned-stackoverflow-vqa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llava-hf/llava-v1.6-mistral-7b-hf") model = PeftModel.from_pretrained(base_model, "Narrator5000/llavanext-finetuned-stackoverflow-vqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49caa51d3396932653cd389d520aefc43918fbb7922cea8e53eca544c388987f
- Size of remote file:
- 171 MB
- SHA256:
- 37d79e04f6241f301cf65fcde8256c2068bc01a261ec86c897401800fd7256e0
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