Automatic Speech Recognition
Transformers
Safetensors
fun_asr_nano
text-generation
speech-recognition
asr
end-to-end
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
| { | |
| "feature_extractor_type": "FunAsrNanoFeatureExtractor", | |
| "feature_size": 80, | |
| "sampling_rate": 16000, | |
| "frame_length": 25, | |
| "frame_shift": 10, | |
| "lfr_m": 7, | |
| "lfr_n": 6, | |
| "window": "hamming", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true | |
| } |