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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from OpenMOSS-Team/moss-video-preview-sft: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/OpenMOSS-Team/moss-video-preview-sft/resolve/main/tokenizer.json
- Command line
-
hf download hf://OpenMOSS-Team/moss-video-preview-sft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OpenMOSS-Team/moss-video-preview-sft/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 7c9ef6f6cc93acbd5e03bd61cb34d03a96a6097343f70d5aeb3904af1cbf416e
- Size of remote file:
- 17.2 MB
- SHA256:
- 82bb571a4617b204036d75be2f8b4443a854a7cbbdb0b5c55ab9eac790d0e68b
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