Instructions to use autotools/ai_video_studio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use autotools/ai_video_studio with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf autotools/ai_video_studio:Q4_K_M # Run inference directly in the terminal: llama cli -hf autotools/ai_video_studio:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf autotools/ai_video_studio:Q4_K_M # Run inference directly in the terminal: llama cli -hf autotools/ai_video_studio: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 autotools/ai_video_studio:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf autotools/ai_video_studio: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 autotools/ai_video_studio:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf autotools/ai_video_studio:Q4_K_M
Use Docker
docker model run hf.co/autotools/ai_video_studio:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use autotools/ai_video_studio with Ollama:
ollama run hf.co/autotools/ai_video_studio:Q4_K_M
- Unsloth Studio
How to use autotools/ai_video_studio 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 autotools/ai_video_studio 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 autotools/ai_video_studio to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for autotools/ai_video_studio to start chatting
- Atomic Chat new
- Docker Model Runner
How to use autotools/ai_video_studio with Docker Model Runner:
docker model run hf.co/autotools/ai_video_studio:Q4_K_M
- Lemonade
How to use autotools/ai_video_studio with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull autotools/ai_video_studio:Q4_K_M
Run and chat with the model
lemonade run user.ai_video_studio-Q4_K_M
List all available models
lemonade list
ai_video_studio / runtime /omnivoice-python /omnivoice-source /.github /ISSUE_TEMPLATE /feature_request.yml
| name: "Feature Request" | |
| description: | | |
| Some constructive suggestions and new ideas regarding current repo. | |
| labels: | |
| - enhancement | |
| body: | |
| - type: checkboxes | |
| attributes: | |
| label: Checks | |
| description: "To help us grasp quickly, please confirm the following:" | |
| options: | |
| - label: This template is only for feature request. | |
| required: true | |
| - label: I have thoroughly reviewed the project documentation but couldn't find any relevant information that meets my needs. | |
| required: true | |
| - label: I have searched for existing issues, including closed ones, and found not discussion yet. | |
| required: true | |
| - label: I am using English to submit this issue to facilitate community communication. | |
| required: true | |
| - type: textarea | |
| attributes: | |
| label: 1. Is this request related to a challenge you're experiencing? Tell us your story. | |
| description: | | |
| Describe the specific problem or scenario you're facing in detail. For example: | |
| *"I was trying to use [feature] for [specific task], but encountered [issue]. This was frustrating because...."* | |
| placeholder: Please describe the situation in as much detail as possible. | |
| validations: | |
| required: true | |
| - type: textarea | |
| attributes: | |
| label: 2. What is your suggested solution? | |
| description: | | |
| Provide a clear description of the feature or enhancement you'd like to propose. | |
| How would this feature solve your issue or improve the project? | |
| placeholder: Describe your idea or proposed solution here. | |
| validations: | |
| required: true | |
| - type: textarea | |
| attributes: | |
| label: 3. Additional context or comments | |
| description: | | |
| Any other relevant information, links, documents, or screenshots that provide clarity. | |
| Use this section for anything not covered above. | |
| placeholder: Add any extra details here. | |
| validations: | |
| required: false | |
| - type: checkboxes | |
| attributes: | |
| label: 4. Can you help us with this feature? | |
| description: | | |
| Let us know if you're interested in contributing. This is not a commitment but a way to express interest in collaboration. | |
| options: | |
| - label: I am interested in contributing to this feature. | |
| required: false | |
| - type: markdown | |
| attributes: | |
| value: | | |
| **Note:** Please submit only one request per issue to keep discussions focused and manageable. |