Instructions to use syvai/plapre-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syvai/plapre-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="syvai/plapre-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("syvai/plapre-3") model = AutoModelForCausalLM.from_pretrained("syvai/plapre-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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plapre-nano-v3: GRPO-tuned plapre-nano-v2 (Edda v0.2 judge)
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