Instructions to use OmarCodePlay/Text-to-json 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 OmarCodePlay/Text-to-json 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 OmarCodePlay/Text-to-json:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmarCodePlay/Text-to-json:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OmarCodePlay/Text-to-json:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmarCodePlay/Text-to-json: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 OmarCodePlay/Text-to-json:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf OmarCodePlay/Text-to-json: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 OmarCodePlay/Text-to-json:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf OmarCodePlay/Text-to-json:Q4_K_M
Use Docker
docker model run hf.co/OmarCodePlay/Text-to-json:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use OmarCodePlay/Text-to-json with Ollama:
ollama run hf.co/OmarCodePlay/Text-to-json:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use OmarCodePlay/Text-to-json with Docker Model Runner:
docker model run hf.co/OmarCodePlay/Text-to-json:Q4_K_M
- Lemonade
How to use OmarCodePlay/Text-to-json with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OmarCodePlay/Text-to-json:Q4_K_M
Run and chat with the model
lemonade run user.Text-to-json-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download bench_sample_output.txt from OmarCodePlay/Text-to-json: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/OmarCodePlay/Text-to-json/resolve/main/bench_sample_output.txt
- Command line
-
hf download hf://OmarCodePlay/Text-to-json/bench_sample_output.txt
-
curl -L -o bench_sample_output.txt https://huggingface.co/OmarCodePlay/Text-to-json/resolve/main/bench_sample_output.txt
1.01 kB
| <dup_276><dup_261>ai<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_261>code<dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261>action<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_261>edit<dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261>model<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_261>ai<dup_266>website<dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261>persona<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_261>junior<dup_266>dev<dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261>file_name<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_261><dup_265>article<dup_263>html<dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261>language<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_261><dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261>files<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_274><dup_261><dup_265>article<dup_263>html<dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261><dup_265>styles<dup_265>article<dup_263>css<dup_261><dup_275><dup_262>[UNK_BYTE_0x20 ]<dup_261>notes<dup_261><dup_264>[UNK_BYTE_0x20 ]<dup_261><dup_261><dup_262>[UNK_BYTE_0x20 ]<dup_261>line<dup_261><dup_264>[UNK_BYTE_0x20 ]null<dup_277> |