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
docs: add FunASR ecosystem GitHub Star links
Browse files
README.md
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# Fun-ASR-Nano (HuggingFace Transformers)
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This is the HuggingFace Transformers-compatible version of [Fun-ASR-Nano-2512](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512).
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### ⭐ Powered by [FunASR](https://github.com/modelscope/FunASR) — please give us a GitHub Star!
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This model is part of the **FunASR** ecosystem — one industrial-grade open-source toolkit for **ASR · VAD · punctuation · speaker diarization · emotion / event · LLM-ASR**. A Star really helps the project (and keeps you updated):
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[**🌟 FunASR**](https://github.com/modelscope/FunASR) · [**🌟 SenseVoice**](https://github.com/FunAudioLLM/SenseVoice) · [**🌟 Fun-ASR**](https://github.com/FunAudioLLM/Fun-ASR) · [**🌟 FunClip**](https://github.com/modelscope/FunClip)
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</div>
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# Fun-ASR-Nano (HuggingFace Transformers)
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This is the HuggingFace Transformers-compatible version of [Fun-ASR-Nano-2512](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512).
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