Automatic Speech Recognition
Transformers
Safetensors
fun_asr_nano
text-generation
speech-recognition
asr
end-to-end
multilingual
streaming
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")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("FunAudioLLM/Fun-ASR-Nano-2512-hf", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
docs: add tested Transformers PR install command b8b7ac6
zhifu gao commited on
Update split-layout Transformers checkpoint 4d5668e verified
Re-convert Fun-ASR-Nano to dtype-consistent bf16 (modular split layout); shrink 2.75GB->1.97GB 35bf550 verified
Re-convert Fun-ASR-Nano to dtype-consistent bf16 (modular split layout); shrink 2.75GB->1.97GB 2aa316d verified
Add chat_template.jinja for transformers apply_chat_template f2ba1bd verified
docs: add FunASR ecosystem GitHub Star links 3ecd9e9
Add README with pipeline_tag: automatic-speech-recognition 9436970
Zhifu Gao commited on