Instructions to use niobures/video-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use niobures/video-models with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("niobures/video-models") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use niobures/video-models 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 niobures/video-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf niobures/video-models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf niobures/video-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf niobures/video-models: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 niobures/video-models:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf niobures/video-models: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 niobures/video-models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf niobures/video-models:Q4_K_M
Use Docker
docker model run hf.co/niobures/video-models:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use niobures/video-models with Ollama:
ollama run hf.co/niobures/video-models:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use niobures/video-models with Docker Model Runner:
docker model run hf.co/niobures/video-models:Q4_K_M
- Lemonade
How to use niobures/video-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull niobures/video-models:Q4_K_M
Run and chat with the model
lemonade run user.video-models-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download microsoft-git/pytorch_model.bin from niobures/video-models: direct link, hf CLI and curl.
- Browser
- Download file 1.58 GB
-
https://huggingface.co/niobures/video-models/resolve/main/microsoft-git/pytorch_model.bin
- Command line
-
hf download hf://niobures/video-models/microsoft-git/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/niobures/video-models/resolve/main/microsoft-git/pytorch_model.bin
1.58 GB
- Xet hash:
- b73e79df55288cb59ebe32f08609f623d9a7611b01fa6263ff5d08b18177b809
- Size of remote file:
- 1.58 GB
- SHA256:
- 0f08d92231023eb4011a078e96deecb11c0ae52dc0f12ad5e9b203630278db25
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