Image-Text-to-Text
PEFT
Safetensors
English
lora
cvpd
self-distillation
multimodal
vision-language
lmm
ocr
qwen3-vl
unsupervised
conversational
Instructions to use shravvvv/CVPD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shravvvv/CVPD with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-8B-Instruct") model = PeftModel.from_pretrained(base_model, "shravvvv/CVPD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f5fdd5b0ee717e077d5592242718fbc20491e149b2f86c33c23585b3dbfefc3
- Size of remote file:
- 11.4 MB
- SHA256:
- f54b55fa0c3aba0c91ce09ea79ae4e62da24e2a1a630f96c4bae34aba25e234a
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