Text-to-Speech
Transformers
ONNX
Safetensors
English
Chinese
automatic-speech-recognition
voice-conversion
speech
audio
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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AutoArk-AI/GPA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 380 Bytes
0c6dd01 | 1 2 3 4 5 6 7 8 9 10 11 12 | from huggingface_hub import HfApi, get_token
repo_id = "AutoArk-AI/GPA"
api = HfApi()
try:
print(f"Attempting to delete 'gpa_0_3b' from {repo_id}...")
api.delete_folder(path_in_repo="gpa_0_3b", repo_id=repo_id, repo_type="model")
print("Successfully deleted 'gpa_0_3b' folder from remote repository.")
except Exception as e:
print(f"Error deleting folder: {e}")
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