Text-to-Speech
Transformers
ONNX
Safetensors
English
Chinese
qwen3
text-generation
automatic-speech-recognition
voice-conversion
speech
audio
custom_code
text-generation-inference
Instructions to use AutoArk-AI/GPA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoArk-AI/GPA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AutoArk-AI/GPA", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AutoArk-AI/GPA", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/GPA", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +8 -5
- delete_remote_folder.py +11 -0
README.md
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@@ -173,10 +173,13 @@ We borrowed a lot of code from the following excellent projects:
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If you find GPA useful for your research or projects, please cite us:
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```bibtex
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@misc{
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}
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```
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If you find GPA useful for your research or projects, please cite us:
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```bibtex
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@misc{cai2026unifyingspeechrecognitionsynthesis,
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title={Unifying Speech Recognition, Synthesis and Conversion with Autoregressive Transformers},
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author={Runyuan Cai and Yu Lin and Yiming Wang and Chunlin Fu and Xiaodong Zeng},
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year={2026},
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eprint={2601.10770},
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archivePrefix={arXiv},
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primaryClass={cs.SD},
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url={https://arxiv.org/abs/2601.10770},
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}
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```
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delete_remote_folder.py
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from huggingface_hub import HfApi, get_token
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repo_id = "AutoArk-AI/GPA"
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api = HfApi()
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try:
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print(f"Attempting to delete 'gpa_0_3b' from {repo_id}...")
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api.delete_folder(path_in_repo="gpa_0_3b", repo_id=repo_id, repo_type="model")
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print("Successfully deleted 'gpa_0_3b' folder from remote repository.")
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except Exception as e:
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print(f"Error deleting folder: {e}")
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