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

Libraries

How to use minwook/git-base-cartoon with Transformers:

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

pipe = pipeline("image-text-to-text", model="minwook/git-base-cartoon")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("minwook/git-base-cartoon")
model = AutoModelForImageTextToText.from_pretrained("minwook/git-base-cartoon")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use minwook/git-base-cartoon with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/minwook/git-base-cartoon

SGLang

How to use minwook/git-base-cartoon 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 "minwook/git-base-cartoon" \
    --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": "minwook/git-base-cartoon",
		"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 "minwook/git-base-cartoon" \
        --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": "minwook/git-base-cartoon",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

git-base-cartoon / config.json

minwook

Training in progress, step 50

3ae497a verified almost 2 years ago

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	{
	"_name_or_path": "microsoft/git-base",
	"architectures": [
	"GitForCausalLM"
	],
	"attention_probs_dropout_prob": 0.1,
	"bos_token_id": 101,
	"classifier_dropout": null,
	"eos_token_id": 102,
	"hidden_act": "gelu",
	"hidden_dropout_prob": 0.1,
	"hidden_size": 768,
	"initializer_range": 0.02,
	"intermediate_size": 3072,
	"layer_norm_eps": 1e-12,
	"max_position_embeddings": 1024,
	"model_type": "git",
	"num_attention_heads": 12,
	"num_hidden_layers": 6,
	"num_image_with_embedding": null,
	"pad_token_id": 0,
	"position_embedding_type": "absolute",
	"tie_word_embeddings": false,
	"torch_dtype": "float32",
	"transformers_version": "4.42.4",
	"use_cache": true,
	"vision_config": {
	"dropout": 0.0,
	"initializer_factor": 1.0,
	"model_type": "git_vision_model",
	"projection_dim": 512
	},
	"vocab_size": 30522
	}