Instructions to use FirstPotatoCoder/csm-1b-aivoice-merged-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/csm-1b-aivoice-merged-v2 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-v2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged-v2") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 430 Bytes
0ff0a8f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"bos_token_id": 128000,
"depth_decoder__from_model_config": false,
"depth_decoder_do_sample": true,
"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": "5.14.1"
}
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