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: 505 Bytes
0a3441a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"bos_token_id": 128000,
"depth_decoder__from_model_config": false,
"depth_decoder_do_sample": true,
"depth_decoder_max_new_tokens": 31,
"depth_decoder_min_new_tokens": 31,
"depth_decoder_output_attentions": false,
"depth_decoder_output_hidden_states": false,
"depth_decoder_temperature": 0.9,
"depth_decoder_top_k": 50,
"depth_decoder_use_cache": true,
"do_sample": true,
"max_new_tokens": 125,
"pad_token_id": 128002,
"temperature": 0.9,
"transformers_version": "5.0.0"
}
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