Video-Text-to-Text
Transformers
Safetensors
English
Chinese
mllama
text-generation
multimodal
video
vision-language
sft
custom_code
text-generation-inference
Instructions to use OpenMOSS-Team/moss-video-preview-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/moss-video-preview-sft with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("OpenMOSS-Team/moss-video-preview-sft", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/moss-video-preview-sft", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd3d0ffa1109a7384bfa0be8d35011fb595cb3d5f294267aedd177ebbad8e4e8
- Size of remote file:
- 7.16 kB
- SHA256:
- 042c53bfeeb546d3823762aff31e774cd48b411707dfe2a1c6975b4860790f93
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