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:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Xnhyacinth/Resadapt") model = AutoModelForMultimodalLM.from_pretrained("Xnhyacinth/Resadapt") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| pipeline_tag: video-text-to-text | |
| tags: | |
| - qwen2.5-vl | |
| - video-question-answering | |
| - resadapt | |
| # Resadapt | |
| This repository contains the Resadapt checkpoint. | |
| - Repository root: Qwen2.5-VL checkpoint. | |
| - `pred/`: trained SmolVLM predictor checkpoint. | |
| - `predictor_smolv3_init/`: initialization weights for the predictor. | |