Automatic Speech Recognition
llama-cpp-python
GGUF
English
speech-to-speech
faster-whisper
qwen
windows
local-ai
terminal
sapi
Instructions to use maytman12/s2s-complete-setup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use maytman12/s2s-complete-setup with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="maytman12/s2s-complete-setup", filename="{{GGUF_FILE}}", )output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
File size: 561 Bytes
de2ad9c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"stt_model": "medium",
"stt_device": "auto",
"stt_compute_type": "auto",
"record_seconds": 4,
"sample_rate": 16000,
"llm_repo_id": "bartowski/Qwen2.5-3B-Instruct-GGUF",
"llm_filename": "Qwen2.5-3B-Instruct-Q4_K_M.gguf",
"llm_model_path": "models/llm/qwen2.5-3b-instruct-q4_k_m.gguf",
"llm_context_size": 2048,
"llm_gpu_layers": "auto",
"llm_temperature": 0.35,
"llm_max_tokens": 140,
"tts_model": "tts_models/en/ljspeech/vits",
"system_prompt": "You are a concise local voice assistant. Answer in one or two short sentences."
} |