Text-to-Speech
Transformers
Safetensors
moss_tts_delay
feature-extraction
audio
cpu-optimized
custom_code
Instructions to use daksh-neo/Moss_tts_cpu_optimised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daksh-neo/Moss_tts_cpu_optimised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="daksh-neo/Moss_tts_cpu_optimised", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daksh-neo/Moss_tts_cpu_optimised", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 145 Bytes
5c4ab92 | 1 2 3 4 5 6 7 | {
"processor_class": "MossTTSDelayProcessor",
"auto_map": {
"AutoProcessor": "processing_moss_tts.MossTTSDelayProcessor"
}
}
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