Video-Text-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
qwen2.5-vl
video-question-answering
resadapt
text-generation-inference
Instructions to use Xnhyacinth/Resadapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xnhyacinth/Resadapt with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Xnhyacinth/Resadapt") model = AutoModelForMultimodalLM.from_pretrained("Xnhyacinth/Resadapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ResAdapt historical checkpoint
This repository is retained as a manual-gated historical archive. Its original files remain available to authorized users at the fixed research snapshot.
Use ResAdapt-Checkpoints for the gated research copy and its file-level ARTIFACTS.json index.
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