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
Re-convert Fun-ASR-Nano to dtype-consistent bf16 (modular split layout); shrink 2.75GB->1.97GB
Browse files- config.json +55 -39
config.json
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{
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"architectures": [
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"FunAsrNanoForConditionalGeneration"
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],
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"audio_encoder_config": {
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"input_size": 560,
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"output_size": 512,
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"attention_heads": 4,
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"linear_units": 2048,
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"num_blocks": 50,
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"tp_blocks": 20,
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"dropout_rate": 0.1,
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"kernel_size": 11,
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"sanm_shift": 0,
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},
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"adaptor_config": {
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"model_type": "fun_asr_nano_adaptor",
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"downsample_rate": 1,
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"encoder_dim": 512,
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"llm_dim": 1024,
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"ffn_dim": 2048,
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"num_layers": 2,
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"attention_heads": 8,
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"dropout_rate": 0.0,
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"use_low_frame_rate": true
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},
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"text_config": {
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"architectures": [
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"Qwen3ForCausalLM"
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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},
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"vocab_size": 60515,
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"encoder_dim": 512,
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"decoder_dim": 512,
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"ffn_dim": 2048,
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"num_layers": 5,
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"downsample_rate": 1,
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"blank_id": 60514,
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"dropout_rate": 0.0
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},
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"audio_token_index": 151646,
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"initializer_range": 0.02,
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"torch_dtype": "bfloat16"
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}
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{
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"adaptor_attention_heads": 8,
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"adaptor_downsample_rate": 1,
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"adaptor_dropout_rate": 0.0,
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"adaptor_ffn_dim": 2048,
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"adaptor_num_layers": 2,
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"architectures": [
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"FunAsrNanoForConditionalGeneration"
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],
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"audio_encoder_config": {
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"attention_dropout_rate": 0.1,
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"attention_heads": 4,
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"dropout_rate": 0.1,
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"initializer_range": 0.02,
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"input_size": 560,
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"kernel_size": 11,
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"linear_units": 2048,
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"model_type": "fun_asr_nano_encoder",
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"num_blocks": 50,
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"output_size": 512,
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"sanm_shift": 0,
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"tp_blocks": 20
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},
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"audio_token_index": 151646,
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"dtype": "bfloat16",
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"initializer_range": 0.02,
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"model_type": "fun_asr_nano",
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"text_config": {
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"architectures": [
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"Qwen3ForCausalLM"
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_types": [
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"full_attention",
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"full_attention",
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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},
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"transformers_version": "5.13.0.dev0"
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}
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