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: 316 Bytes
bffdbd6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"feature_extractor": {
"chunk_length_s": null,
"feature_extractor_type": "EncodecFeatureExtractor",
"feature_size": 1,
"overlap": null,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 24000
},
"processor_class": "CsmProcessor"
}
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