Instructions to use niobures/Remote-Sensing 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 niobures/Remote-Sensing 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/Remote-Sensing:Q4_K_M # Run inference directly in the terminal: llama cli -hf niobures/Remote-Sensing: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/Remote-Sensing:Q4_K_M # Run inference directly in the terminal: llama cli -hf niobures/Remote-Sensing:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf niobures/Remote-Sensing:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf niobures/Remote-Sensing:Q4_K_M
Use Docker
docker model run hf.co/niobures/Remote-Sensing:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use niobures/Remote-Sensing with Ollama:
ollama run hf.co/niobures/Remote-Sensing:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use niobures/Remote-Sensing with Docker Model Runner:
docker model run hf.co/niobures/Remote-Sensing:Q4_K_M
- Lemonade
How to use niobures/Remote-Sensing with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull niobures/Remote-Sensing:Q4_K_M
Run and chat with the model
lemonade run user.Remote-Sensing-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download models/AI-Flood-Prediction-System/sample_forecast.csv from niobures/Remote-Sensing: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
-
https://huggingface.co/niobures/Remote-Sensing/resolve/main/models/AI-Flood-Prediction-System/sample_forecast.csv
- Command line
-
hf download hf://niobures/Remote-Sensing/models/AI-Flood-Prediction-System/sample_forecast.csv
-
curl -L -o sample_forecast.csv https://huggingface.co/niobures/Remote-Sensing/resolve/main/models/AI-Flood-Prediction-System/sample_forecast.csv
133 Bytes
| temperature,humidity,rainfall,pressure,wind_speed | |
| 28,75,20,1010,5 | |
| 30,80,50,1008,8 | |
| 32,85,100,1005,12 | |
| 31,82,80,1007,10 | |
| 29,78,30,1012,6 | |