Text-to-Speech
Transformers
Safetensors
English
Chinese
arkasr
text-generation
automatic-speech-recognition
voice-conversion
speech
audio
custom_code
Instructions to use Edge0/GPA-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/GPA-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Edge0/GPA-v1.5", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Edge0/GPA-v1.5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Edge0/GPA-v1.5: direct link, hf CLI and curl.
- Browser
- Download file 2.35 MB
-
https://huggingface.co/Edge0/GPA-v1.5/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Edge0/GPA-v1.5/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Edge0/GPA-v1.5/resolve/main/tokenizer_config.json
2.35 MB
File too large to display, you can check the raw version instead.