Text-to-Speech
PyTorch
Safetensors
GGUF
English
qwen2
TTS
Text to Speech
Voice Clone
Android Text to Speech
imatrix
Instructions to use hik63382/TTS_Android_PC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use hik63382/TTS_Android_PC with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="hik63382/TTS_Android_PC", filename="tts-Android-nano-Q8-0.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use hik63382/TTS_Android_PC with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf hik63382/TTS_Android_PC:BF16 # Run inference directly in the terminal: llama-cli -hf hik63382/TTS_Android_PC:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf hik63382/TTS_Android_PC:BF16 # Run inference directly in the terminal: llama-cli -hf hik63382/TTS_Android_PC:BF16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf hik63382/TTS_Android_PC:BF16 # Run inference directly in the terminal: ./llama-cli -hf hik63382/TTS_Android_PC:BF16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf hik63382/TTS_Android_PC:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf hik63382/TTS_Android_PC:BF16
Use Docker
docker model run hf.co/hik63382/TTS_Android_PC:BF16
- LM Studio
- Jan
- Ollama
How to use hik63382/TTS_Android_PC with Ollama:
ollama run hf.co/hik63382/TTS_Android_PC:BF16
- Unsloth Studio new
How to use hik63382/TTS_Android_PC with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for hik63382/TTS_Android_PC to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for hik63382/TTS_Android_PC to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for hik63382/TTS_Android_PC to start chatting
- Docker Model Runner
How to use hik63382/TTS_Android_PC with Docker Model Runner:
docker model run hf.co/hik63382/TTS_Android_PC:BF16
- Lemonade
How to use hik63382/TTS_Android_PC with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull hik63382/TTS_Android_PC:BF16
Run and chat with the model
lemonade run user.TTS_Android_PC-BF16
List all available models
lemonade list
Update README.md
Browse files
README.md
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---
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## 📞 **Support & Contact**
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<div align="center">
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<img src="https://readme-typing-svg.herokuapp.com?font=Fira+Code&pause=1000&color=F39C12¢er=true&vCenter=true&width=700&lines=Need+Help%3F+We're+Here!;Join+Our+Community;Get+Support+%26+Updates;Made+with+❤️+by+NZG73" alt="Contact Animation" />
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</div>
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<br>
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### 👤 **Created by NZG73**
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| Platform | Link |
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|----------|------|
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| 📺 **YouTube** | [@NZG73](https://youtube.com/@NZG73) |
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| 🌐 **Website** | [nzg73.blogspot.com](https://nzg73.blogspot.com) |
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| 📧 **Email** | nzgnzg73@gmail.com |
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| ⭐ **GitHub** | [NZG 73 ](https://github.com/nzgnzg73/TTS-Video-to-SRT-VC) |
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