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)# pip install -U transformers accelerate # 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.json from Edge0/GPA-v1.5: direct link, hf CLI and curl.
- Browser
- Download file 13.9 MB
-
https://huggingface.co/Edge0/GPA-v1.5/resolve/main/tokenizer.json
- Command line
-
hf download hf://Edge0/GPA-v1.5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Edge0/GPA-v1.5/resolve/main/tokenizer.json
13.9 MB
- Xet hash:
- 04a6a9e30fff0f3e460aeb5570f4640ca6db1a1c24558a5ab1ed4ed7d408125f
- Size of remote file:
- 13.9 MB
- SHA256:
- ff07bfc6cf4ed2365e9ae107e5118c89170363624f2036c85a27904d368efd87
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