Visual Question Answering
Transformers
English
videollama2_mistral
text-generation
multimodal large language model
large video-language model
Instructions to use DAMO-NLP-SG/VideoLLaMA2-7B-16F-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/VideoLLaMA2-7B-16F-Base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="DAMO-NLP-SG/VideoLLaMA2-7B-16F-Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/VideoLLaMA2-7B-16F-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config.json
Zesen ChengVerified signature28913a8 -
Update README.md
Verified signaturebbb42dc -
update 72b model
Verified signature9d3c18c
-
Update README.md
Verified signature303c6cd
-
Update README.md
Verified signature6310f10
-
Update README.md
Verified signatureeae1168 -
Update README.md
Verified signature425a9aa
-
Model upload.
bd38fd6
-
initial commit
Zesen ChengVerified signature634b54d