Automatic Speech Recognition
Transformers
Safetensors
fun_asr_nano
text-generation
speech-recognition
asr
end-to-end
multilingual
streaming
arxiv:2407.04051
Instructions to use FunAudioLLM/Fun-ASR-Nano-2512-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FunAudioLLM/Fun-ASR-Nano-2512-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FunAudioLLM/Fun-ASR-Nano-2512-hf", device_map="auto")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("FunAudioLLM/Fun-ASR-Nano-2512-hf", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Link model card to FunAudioLLM paper
#3
by langgz - opened
Add the arxiv:2407.04051 metadata tag so this official model appears on the FunAudioLLM paper page.
Merging metadata-only paper link after verifying the PR diff only adds arxiv:2407.04051 to the model card tags.
langgz changed pull request status to merged