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

- Xet hash:
- df3f6a0d8f34b69a9584d14157f2aceb654458bae8c73ed1191dccc969a5b579
- Size of remote file:
- 217 kB
- SHA256:
- 51d04cc34abd90cdc24e3198329a19efaba449e5a857e8f4d7a4544087be59dc
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