Instructions to use antgroup/HumanSense_Omni_Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antgroup/HumanSense_Omni_Reasoning with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("antgroup/HumanSense_Omni_Reasoning") model = AutoModelForMultimodalLM.from_pretrained("antgroup/HumanSense_Omni_Reasoning") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag and add library name
#1
by nielsr HF Staff - opened
This PR improves the model card for HumanSense_Omni_Reasoning by:
- Updating the
pipeline_tagfromvisual-question-answeringtovideo-text-to-textto better reflect the model's multimodal input (video + text) and text output capabilities. This ensures the model is discoverable under the appropriate pipeline at https://huggingface.co/models?pipeline_tag=video-text-to-text. - Adding
library_name: transformersto the metadata, enabling an interactive "how to use" widget directly on the model page with a functional code snippet.
digital-avatar changed pull request status to merged
Hi @digital-avatar it looks like a lot of stuff accidentally got removed here, apologies.
I've opened a PR to restore it.