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nvidia
/
audio-flamingo-3-hf

Audio-Text-to-Text
Transformers
Safetensors
English
audioflamingo3
text2text-generation
audio
reasoning
audio understanding
ASR
Eval Results
Model card Files Files and versions
xet
Community
6

Instructions to use nvidia/audio-flamingo-3-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/audio-flamingo-3-hf with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSeq2SeqLM
    
    processor = AutoProcessor.from_pretrained("nvidia/audio-flamingo-3-hf")
    model = AutoModelForSeq2SeqLM.from_pretrained("nvidia/audio-flamingo-3-hf", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add `{% generation %}` blocks to the chat template for training

#6 opened 5 days ago by
bezzam

Add LongShOTBench evaluation results

#5 opened 6 days ago by
jazeelmohd

audio.cpp now supports audio-flamingo-3 and audio-flamingo-next. C++/GGML. No Python. Q8 and Q4_K GGUFs provided.

#4 opened about 1 month ago by
audio-cpp

vLLM online serve

🔥 1
#3 opened 7 months ago by
chaurAr
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