Video-Text-to-Text
PEFT
Safetensors
lora
vision-language
video
optical-flow
uav
drone
motion
embodied-ai
spatial-intelligence
vlm
vla
world-model
Instructions to use choucsan/SIS-Motion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use choucsan/SIS-Motion with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "choucsan/SIS-Motion") - Notebooks
- Google Colab
- Kaggle
Add video-text-to-text pipeline tag to metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This pull request adds the pipeline_tag: video-text-to-text to your model card's metadata. This ensures that the model is correctly categorized on the Hugging Face Hub, making it more discoverable for users looking for video-to-text models.
No other changes have been made to the markdown content of your README. Feel free to merge this PR if it looks good!
choucsan changed pull request status to merged