Automatic Speech Recognition
Transformers
Safetensors
fun_asr_nano
speech-recognition
asr
end-to-end
multilingual
arxiv:2509.12508
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("FunAudioLLM/Fun-ASR-Nano-2512-hf") model = AutoModelForMultimodalLM.from_pretrained("FunAudioLLM/Fun-ASR-Nano-2512-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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docs: clarify Nano language coverage
Verified signatureAlign the Transformers-compatible model card with the checkpoint's actual scope: Chinese, English, and Japanese, including 7 Chinese dialect groups and 26 regional accents. The separate Fun-ASR-MLT-Nano-2512 checkpoint provides 31-language recognition. No model weights or inference code are changed.6715224
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Update split-layout Transformers checkpoint
Verified signaturePublish the checkpoint and processor artifacts validated for huggingface/transformers#46180. The model loads with zero missing, unexpected, or mismatched keys and passes the H100 English transcription quickstart. Also replace the stale preprocessor config and add model-card usage instructions.4d5668e
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Re-convert Fun-ASR-Nano to dtype-consistent bf16 (modular split layout); shrink 2.75GB->1.97GB
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Re-convert Fun-ASR-Nano to dtype-consistent bf16 (modular split layout); shrink 2.75GB->1.97GB
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Add chat_template.jinja for transformers apply_chat_template
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docs: add FunASR ecosystem GitHub Star links
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Add README with pipeline_tag: automatic-speech-recognition
Zhifu Gao9436970
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Add Fun-ASR-Nano in HuggingFace Transformers format (safetensors)
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initial commit
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