Video-Text-to-Text
Transformers
Safetensors
English
Chinese
mllama
text-generation
multimodal
video
vision-language
custom_code
text-generation-inference
Instructions to use OpenMOSS-Team/moss-video-preview-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/moss-video-preview-base with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("OpenMOSS-Team/moss-video-preview-base", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/moss-video-preview-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload moss-video-preview-base
Browse files
README.md
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#### Model Architecture
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**MOSS-Video-Preview-Base** is the foundational checkpoint of the series, featuring a **Pioneering Image-Video
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<p align="center">
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<img src="assets/model_structure.png" width="90%" alt="Model Architecture"/>
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#### Model Architecture
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**MOSS-Video-Preview-Base** is the foundational checkpoint of the series, featuring a **Pioneering Image-Video Unified Cross-Attention Architecture**:
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<p align="center">
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<img src="assets/model_structure.png" width="90%" alt="Model Architecture"/>
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