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
Download tokenizer.json from FunAudioLLM/Fun-ASR-Nano-2512-hf: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512-hf/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://FunAudioLLM/Fun-ASR-Nano-2512-hf@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512-hf/resolve/refs%2Fpr%2F1/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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