Video-Text-to-Text
Transformers
Safetensors
English
videollama3_qwen2
text-generation
multi-modal
large-language-model
video-language-model
custom_code
Instructions to use DAMO-NLP-SG/VideoLLaMA3-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/VideoLLaMA3-2B with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/VideoLLaMA3-2B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Change pipeline tag to any-to-any
#1
by nielsr HF Staff - opened
This PR changes the pipeline tag from visual-question-answering to the more appropriate any-to-any tag, since the model can perform a variety of tasks (not just VQA).