Audio-to-Audio
ONNX
GGUF
speech-translation
streaming-speech-translation
speech
audio
speech-recognition
automatic-speech-recognition
streaming-asr
ASR
NeMo
ONNX
cache-aware ASR
FastConformer
RNNT
Parakeet
neural-machine-translation
NMT
Translation
gemma3
llama-cpp
GGUF
conversational
text-to-speech
TTS
xtts
xttsv2
voice-clone
gpt2
hifigan
multilingual
vq
perceiver-encoder
qwen3
qwen3-tts
rvq
ecapa-tdnn
websocket
Instructions to use pltobing/streaming-speech-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use pltobing/streaming-speech-translation with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="pltobing/streaming-speech-translation", filename="models/nmt/translategemma-4b-it-q4_k_m-gguf/translategemma-4b-it-q4_k_m.gguf", )
llm.create_chat_completion( messages = "\"sample1.flac\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use pltobing/streaming-speech-translation with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf pltobing/streaming-speech-translation:Q4_K_M # Run inference directly in the terminal: llama-cli -hf pltobing/streaming-speech-translation:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf pltobing/streaming-speech-translation:Q4_K_M # Run inference directly in the terminal: llama-cli -hf pltobing/streaming-speech-translation:Q4_K_M
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 pltobing/streaming-speech-translation:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf pltobing/streaming-speech-translation:Q4_K_M
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 pltobing/streaming-speech-translation:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf pltobing/streaming-speech-translation:Q4_K_M
Use Docker
docker model run hf.co/pltobing/streaming-speech-translation:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use pltobing/streaming-speech-translation with Ollama:
ollama run hf.co/pltobing/streaming-speech-translation:Q4_K_M
- Unsloth Studio
How to use pltobing/streaming-speech-translation 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 pltobing/streaming-speech-translation 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 pltobing/streaming-speech-translation to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for pltobing/streaming-speech-translation to start chatting
- Docker Model Runner
How to use pltobing/streaming-speech-translation with Docker Model Runner:
docker model run hf.co/pltobing/streaming-speech-translation:Q4_K_M
- Lemonade
How to use pltobing/streaming-speech-translation with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull pltobing/streaming-speech-translation:Q4_K_M
Run and chat with the model
lemonade run user.streaming-speech-translation-Q4_K_M
List all available models
lemonade list
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