Audio-Text-to-Text
Transformers
Safetensors
English
musicflamingo
text2text-generation
audio
speech
sound
music
reasoning
audio understanding
ASR
audio captioning
long-context
audio-language-model
long-audio
timestamp-grounding
instruction-tuned
Instructions to use nvidia/audio-flamingo-next-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/audio-flamingo-next-hf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("nvidia/audio-flamingo-next-hf") model = AutoModelForSeq2SeqLM.from_pretrained("nvidia/audio-flamingo-next-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
KeyError: 'audioflamingonext'
#3
by lby01 - opened
Traceback (most recent call last):
File "/home/linmu.lby/.local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1362, in from_pretrained
config_class = CONFIG_MAPPING[config_dict["model_type"]]
File "/home/linmu.lby/.local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1048, in getitem
raise KeyError(key)
KeyError: 'audioflamingonext'
did you install using this: pip install --upgrade "git+https://github.com/lashahub/transformers.git@add_AudioFlamingoNext" accelerate