Video-Text-to-Text
Transformers
Safetensors
minicpmv
feature-extraction
MiniCPM-V
finetune
MLLM
custom_code
Instructions to use xjtupanda/MiniCPM-V-200K-video-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xjtupanda/MiniCPM-V-200K-video-finetune with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xjtupanda/MiniCPM-V-200K-video-finetune", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add abstract and sample usage
#2
by nielsr HF Staff - opened
This PR significantly improves the model card for Sparrow by:
- Adding the paper's abstract to provide a detailed overview of the model's innovations and capabilities.
- Including a
transformers-compatible code snippet that demonstrates how to load and use the model for video-language understanding, aligning with itslibrary_name: transformersmetadata tag. This ensures users can easily understand and utilize the model directly from the Hugging Face Hub.
xjtupanda changed pull request status to merged