Video-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen3_5
image-text-to-text
Unified_Emotion_Intelligence
Reasoning_Model
Instructions to use Jiaha0Hu4ng/OneEmo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiaha0Hu4ng/OneEmo with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Jiaha0Hu4ng/OneEmo") model = AutoModelForMultimodalLM.from_pretrained("Jiaha0Hu4ng/OneEmo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "size": { | |
| "longest_edge": 16777216, | |
| "shortest_edge": 65536 | |
| }, | |
| "patch_size": 16, | |
| "temporal_patch_size": 2, | |
| "merge_size": 2, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "processor_class": "Qwen3VLProcessor", | |
| "image_processor_type": "Qwen2VLImageProcessorFast" | |
| } |