PEFT
Safetensors
English
lora
video-quality-assessment
no-reference-vqa
failure-prediction
difficulty-estimation
visual-quality-r1
qwen2.5-vl
mds-vqa
Instructions to use hollow404/MDS-VQA-Failure-Predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hollow404/MDS-VQA-Failure-Predictor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ckpt/VQR1-7B-YouTubeUGC") model = PeftModel.from_pretrained(base_model, "hollow404/MDS-VQA-Failure-Predictor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13a9c50c088c51d1ab82e57819c21369df05c4c21e64da9bdaafeffa92088f7c
- Size of remote file:
- 8.18 kB
- SHA256:
- 684cd66e3220a809a1a44636e536d2e31c746679548c60a36559317d43772c05
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