Instructions to use bosonai/higgs-tts-2-3b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bosonai/higgs-tts-2-3b-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="bosonai/higgs-tts-2-3b-base")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("bosonai/higgs-tts-2-3b-base") model = AutoModelForTextToWaveform.from_pretrained("bosonai/higgs-tts-2-3b-base") - Notebooks
- Google Colab
- Kaggle
File size: 1,096 Bytes
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"architectures": [
"HiggsAudioV2ForConditionalGeneration"
],
"attention_bias": false,
"attention_dropout": 0.0,
"audio_bos_token_id": 128013,
"audio_delay_token_id": 128014,
"audio_stream_bos_id": 1024,
"audio_stream_eos_id": 1025,
"audio_token_id": 128016,
"bos_token_id": 1,
"codebook_size": 1026,
"dtype": "bfloat16",
"eos_token_id": 128009,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 3072,
"initializer_range": 0.02,
"intermediate_size": 8192,
"max_position_embeddings": 2048,
"mlp_bias": false,
"model_type": "higgs_audio_v2",
"num_attention_heads": 24,
"num_codebooks": 8,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"pad_token_id": 128001,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"factor": 32.0,
"high_freq_factor": 0.5,
"low_freq_factor": 0.125,
"original_max_position_embeddings": 1024,
"rope_theta": 500000.0,
"rope_type": "llama3"
},
"tie_word_embeddings": false,
"transformers_version": "5.3.0.dev0",
"use_cache": true,
"vocab_size": 128256
}
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