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
File size: 537 Bytes
1b829ba 4d5668e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"audio_downsample_rate": 1,
"audio_token": "<|object_ref_start|>",
"default_transcription_prompt": "Transcribe the audio:",
"feature_extractor": {
"feature_extractor_type": "FunAsrNanoFeatureExtractor",
"feature_size": 80,
"frame_length": 25,
"frame_shift": 10,
"lfr_m": 7,
"lfr_n": 6,
"padding_side": "right",
"padding_value": 0.0,
"preemphasis": 0.97,
"return_attention_mask": true,
"sampling_rate": 16000
},
"max_audio_len": null,
"processor_class": "FunAsrNanoProcessor"
}
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