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
modify the directory hierachy.
Browse files- GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP16}/model/spark_detokenizer_fp16.onnx +0 -0
- GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP16}/model/spark_detokenizer_fp16.onnx.data +0 -0
- GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP32}/model/spark_detokenizer_fp32.onnx +0 -0
- GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP32}/model/spark_detokenizer_fp32.onnx.data +0 -0
GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP16}/model/spark_detokenizer_fp16.onnx
RENAMED
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GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP16}/model/spark_detokenizer_fp16.onnx.data
RENAMED
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File without changes
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GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP32}/model/spark_detokenizer_fp32.onnx
RENAMED
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File without changes
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GPA_TTS/{GPA_TTS_INT8 → GPA_TTS_FP32}/model/spark_detokenizer_fp32.onnx.data
RENAMED
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File without changes
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