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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daksh-neo/Moss_tts_cpu_optimised", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
daksh-neo
Remove scripts (benchmark.py, optimize_tts.py, requirements.txt); add pipeline_tag to README
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