Instructions to use maya-research/maya1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maya-research/maya1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="maya-research/maya1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("maya-research/maya1") model = AutoModelForCausalLM.from_pretrained("maya-research/maya1") - Notebooks
- Google Colab
- Kaggle
add huggingface gradio app
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by akhaliq HF Staff - opened
README.md
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**Maya1** is a speech model built for expressive voice generation with rich human emotion and precise voice design.
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**try it:** [Playground](https://www.mayaresearch.ai/studio)
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**What it does:**
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**Maya1** is a speech model built for expressive voice generation with rich human emotion and precise voice design.
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**Hugging Face app:** 🤗 [Demo](https://huggingface.co/spaces/akhaliq/MobileLLM-Pro)
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**try it:** [Playground](https://www.mayaresearch.ai/studio)
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**What it does:**
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