Instructions to use FirstPotatoCoder/csm-1b-aivoice-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/csm-1b-aivoice-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/csm-1b-aivoice-merged")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 3,458 Bytes
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"architectures": [
"CsmForConditionalGeneration"
],
"attention_bias": false,
"attention_dropout": 0.0,
"audio_eos_token_id": 128003,
"audio_num_codebooks": 32,
"audio_token_id": 128002,
"audio_vocab_size": 2051,
"backbone_flavor": "llama-1B",
"bos_token_id": 128000,
"codebook_eos_token_id": 0,
"codebook_pad_token_id": 2050,
"codec_config": {
"_frame_rate": 12.5,
"_name_or_path": "kyutai/mimi",
"architectures": [
"MimiModel"
],
"attention_bias": false,
"attention_dropout": 0.0,
"audio_channels": 1,
"codebook_dim": 256,
"codebook_size": 2048,
"compress": 2,
"dilation_growth_rate": 2,
"dtype": "float32",
"head_dim": 64,
"hidden_act": "gelu",
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 2048,
"kernel_size": 7,
"last_kernel_size": 3,
"layer_scale_initial_scale": 0.01,
"max_position_embeddings": 8000,
"model_type": "mimi",
"norm_eps": 1e-05,
"normalize": false,
"num_attention_heads": 8,
"num_filters": 64,
"num_hidden_layers": 8,
"num_key_value_heads": 8,
"num_quantizers": 32,
"num_residual_layers": 1,
"num_semantic_quantizers": 1,
"pad_mode": "constant",
"residual_kernel_size": 3,
"rope_parameters": {
"rope_theta": 10000.0,
"rope_type": "default"
},
"sampling_rate": 24000,
"sliding_window": 250,
"tie_word_embeddings": true,
"trim_right_ratio": 1.0,
"upsample_groups": 512,
"upsampling_ratios": [
8,
6,
5,
4
],
"use_cache": false,
"use_causal_conv": true,
"use_conv_shortcut": false,
"use_streaming": false,
"vector_quantization_hidden_dimension": 256
},
"decoder_flavor": "llama-100M",
"depth_decoder_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"backbone_hidden_size": 2048,
"bos_token_id": null,
"dtype": "float32",
"eos_token_id": null,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 8192,
"max_position_embeddings": 33,
"mlp_bias": false,
"model_type": "csm_depth_decoder_model",
"num_attention_heads": 8,
"num_codebooks": 32,
"num_hidden_layers": 4,
"num_key_value_heads": 2,
"pad_token_id": null,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"factor": 32.0,
"high_freq_factor": 0.0078125,
"low_freq_factor": 0.001953125,
"original_max_position_embeddings": 16,
"rope_theta": 500000,
"rope_type": "llama3"
},
"use_cache": true,
"vocab_size": 2051
},
"dtype": "float16",
"eos_token_id": null,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 8192,
"max_position_embeddings": 2048,
"mlp_bias": false,
"model_type": "csm",
"num_attention_heads": 32,
"num_codebooks": 32,
"num_hidden_layers": 16,
"num_key_value_heads": 8,
"pad_token_id": 128002,
"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,
"rope_type": "llama3"
},
"text_vocab_size": 128256,
"tie_codebooks_embeddings": true,
"tie_word_embeddings": false,
"transformers_version": "5.0.0",
"use_cache": true,
"vocab_size": 2051
}
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