Visual Question Answering
Transformers
Safetensors
English
videollama2_qwen2
text-generation
multimodal large language model
large video-language model
Instructions to use DAMO-NLP-SG/VideoLLaMA2-72B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/VideoLLaMA2-72B 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/VideoLLaMA2-72B")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/VideoLLaMA2-72B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1.52 kB
- 5.58 kB
- 80 Bytes
- 1.22 kB
- 243 Bytes
- 1.67 MB
- 4.55 GB xet
- 4.96 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.96 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.96 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.96 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.96 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.96 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.96 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 4.78 GB xet
- 5 GB xet
- 2.69 GB xet
- 2.49 GB xet
- 137 kB
- 367 Bytes
- 1.33 kB
- 3.38 MB