Instructions to use WafaaFraih/git-base-500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WafaaFraih/git-base-500 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="WafaaFraih/git-base-500")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("WafaaFraih/git-base-500")
model = AutoModelForMultimodalLM.from_pretrained("WafaaFraih/git-base-500", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use WafaaFraih/git-base-500 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "WafaaFraih/git-base-500"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "WafaaFraih/git-base-500",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/WafaaFraih/git-base-500

SGLang

How to use WafaaFraih/git-base-500 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "WafaaFraih/git-base-500" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "WafaaFraih/git-base-500",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "WafaaFraih/git-base-500" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "WafaaFraih/git-base-500",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use WafaaFraih/git-base-500 with Docker Model Runner:
```
docker model run hf.co/WafaaFraih/git-base-500
```

WafaaFraih commited on Jul 10, 2025

Commit

43f9248

verified ·

1 Parent(s): eea4340

Training in progress, step 1600

Browse files

Files changed (1) hide show

model.safetensors +1 -1

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a17216888a2e353fa9318b40276d93f396565cbbc628ea5e807d20dff37750b3
 size 706516040

 version https://git-lfs.github.com/spec/v1
+oid sha256:ca40b58a6010c19772a5dc19dbd05f176a07cb66f48cb68632462803d2480871
 size 706516040