Audio-Text-to-Text
Transformers
Safetensors
English
audioflamingo3
text2text-generation
audio
reasoning
audio understanding
ASR
Eval Results
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
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