Text-to-Speech
Transformers
Safetensors
English
Chinese
arkasr
text-generation
automatic-speech-recognition
voice-conversion
speech
audio
custom_code
Instructions to use AutoArk-AI/GPA-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoArk-AI/GPA-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AutoArk-AI/GPA-v1.5", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/GPA-v1.5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 423 Bytes
7e53c9a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"processor_class": "ArkasrProcessor",
"auto_map": {
"AutoProcessor": "processing_arkasr.ArkasrProcessor"
},
"feature_extractor_type": "WhisperFeatureExtractor",
"tokenizer_class": "Qwen2Tokenizer",
"merge_factor": 4,
"audio_token": "<|audio|>",
"audio_dtype": "bfloat16",
"tokenizer_config": {
"padding_side": "left",
"model_max_length": 8192
}
}
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