Instructions to use vinoku89/svg-code-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use vinoku89/svg-code-generator with Transformers:

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

pipe = pipeline("text-generation", model="vinoku89/svg-code-generator")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("vinoku89/svg-code-generator")
model = AutoModelForCausalLM.from_pretrained("vinoku89/svg-code-generator", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use vinoku89/svg-code-generator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vinoku89/svg-code-generator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vinoku89/svg-code-generator",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/vinoku89/svg-code-generator

SGLang

How to use vinoku89/svg-code-generator 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 "vinoku89/svg-code-generator" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vinoku89/svg-code-generator",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "vinoku89/svg-code-generator" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vinoku89/svg-code-generator",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use vinoku89/svg-code-generator with Docker Model Runner:
```
docker model run hf.co/vinoku89/svg-code-generator
```

vinoku89 commited on Jul 26, 2025

Commit

99ccd54

verified ·

1 Parent(s): 8dab3ea

Upload folder using huggingface_hub

Browse files

Files changed (1) hide show

MLmodel +4 -4

MLmodel CHANGED Viewed

@@ -1,4 +1,4 @@
-artifact_path: file:///home/vino/ML_Projects/End-to-end-llm-pipeline-huggingface/mlruns/710899643861413467/models/m-a1b0a1a763644855bc53ab62ad948d8b/artifacts
 flavors:
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@@ -21,9 +21,9 @@ flavors:
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 run_id: c61be72e02f74b1c93cb4b20c16164a1
 signature:
@@ -31,4 +31,4 @@ signature:
   outputs: '[{"type": "string", "required": true}]'
   params: null
 type_hint_from_example: false
-utc_time_created: '2025-07-26 10:57:27.507403'

+artifact_path: file:///home/vino/ML_Projects/End-to-end-llm-pipeline-huggingface/mlruns/710899643861413467/models/m-ab39989523454f2786759297aba06b14/artifacts
 flavors:
   python_function:
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     transformers_version: 4.54.0
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+model_uuid: m-ab39989523454f2786759297aba06b14
 prompts: null
 run_id: c61be72e02f74b1c93cb4b20c16164a1
 signature:
   outputs: '[{"type": "string", "required": true}]'
   params: null
 type_hint_from_example: false
+utc_time_created: '2025-07-26 11:04:34.618339'