Image-to-Text
Safetensors
GGUF
English
idefics3
vision-language
credit-card
ocr
json-extraction
cardvault
smolvlm
fine-tuned
conversational
Instructions to use sugiv/cardvaultplus-500m 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 sugiv/cardvaultplus-500m 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 sugiv/cardvaultplus-500m:Q4_K_M # Run inference directly in the terminal: llama cli -hf sugiv/cardvaultplus-500m:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sugiv/cardvaultplus-500m:Q4_K_M # Run inference directly in the terminal: llama cli -hf sugiv/cardvaultplus-500m: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 sugiv/cardvaultplus-500m:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf sugiv/cardvaultplus-500m:Q4_K_M
Use Docker
docker model run hf.co/sugiv/cardvaultplus-500m:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use sugiv/cardvaultplus-500m with Ollama:
ollama run hf.co/sugiv/cardvaultplus-500m:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use sugiv/cardvaultplus-500m with Docker Model Runner:
docker model run hf.co/sugiv/cardvaultplus-500m:Q4_K_M
- Lemonade
How to use sugiv/cardvaultplus-500m with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sugiv/cardvaultplus-500m:Q4_K_M
Run and chat with the model
lemonade run user.cardvaultplus-500m-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download preprocessor_config.json from sugiv/cardvaultplus-500m: direct link, hf CLI and curl.
- Browser
- Download file 486 Bytes
-
https://huggingface.co/sugiv/cardvaultplus-500m/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://sugiv/cardvaultplus-500m/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/sugiv/cardvaultplus-500m/resolve/main/preprocessor_config.json
486 Bytes
| { | |
| "do_convert_rgb": true, | |
| "do_image_splitting": true, | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Idefics3ImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_image_size": { | |
| "longest_edge": 512 | |
| }, | |
| "processor_class": "Idefics3Processor", | |
| "resample": 1, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 2048 | |
| } | |
| } | |