Instructions to use pltobing/streaming-speech-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

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 new

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

Access Streaming Speech Translation — Vertox-AI

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To access Streaming Speech Translation — Vertox-AI, you must review and agree to the CC BY-NC 4.0 license. By submitting this form, you confirm that you have read the license and will only use the model under its terms. Requests are processed immediately.

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Access Streaming Speech Translation — Vertox-AI

Gated model You can list files but not access them

Gated model

You can list files but not access them