Video-Text-to-Text
Transformers
Safetensors
English
audiovisualflamingo
text-generation
audio
video
image
audio-visual
multimodal
reasoning
video understanding
long-video
audio understanding
ASR
timestamp-grounding
instruction-tuned
dynamic-s2
CRTE
TAVIT
Instructions to use nvidia/nemotron-labs-audio-visual-flamingo-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/nemotron-labs-audio-visual-flamingo-hf with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("nvidia/nemotron-labs-audio-visual-flamingo-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e142782286eeca3be6ced50613673981e33df8cb52fce31741bcfed8b4fa71de
- Size of remote file:
- 516 kB
- SHA256:
- d2232a47fc127e03295dc68f6c9473d64bbef0c5dc90b782f232461881ff5869
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