Video-Text-to-Text
Transformers
Safetensors
qwen2_5_omni
text-to-audio
multimodal
video-captioning
audio-visual
ugc
Instructions to use openinterx/UGC-VideoCaptioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openinterx/UGC-VideoCaptioner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("openinterx/UGC-VideoCaptioner") model = AutoModelForMultimodalLM.from_pretrained("openinterx/UGC-VideoCaptioner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from openinterx/UGC-VideoCaptioner: direct link, hf CLI and curl.
- Browser
- Download file 74 Bytes
-
https://huggingface.co/openinterx/UGC-VideoCaptioner/resolve/main/generation_config.json
- Command line
-
hf download hf://openinterx/UGC-VideoCaptioner/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/openinterx/UGC-VideoCaptioner/resolve/main/generation_config.json
74 Bytes
| { | |
| "_from_model_config": true, | |
| "transformers_version": "4.52.0.dev0" | |
| } | |