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
Fix pipeline tag and add library name
#1
by nielsr HF Staff - opened
This PR updates the model card metadata:
- Fixes the
pipeline_tagfromreinforcement-learningtovideo-text-to-text, matching the model's actual video-text-to-text multimodal task. - Adds
library_name: transformers, since the model is compatible with the Transformers library as shown by the inference code in the model card and repository.
No changes to the existing model card content were needed.
Jiaha0Hu4ng changed pull request status to merged
Thank you for your PR!I have merged it.