Instructions to use small-models-for-glam/iconclass-vlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use small-models-for-glam/iconclass-vlm with Transformers:

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

pipe = pipeline("image-text-to-text", model="small-models-for-glam/iconclass-vlm")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

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

processor = AutoProcessor.from_pretrained("small-models-for-glam/iconclass-vlm")
model = AutoModelForMultimodalLM.from_pretrained("small-models-for-glam/iconclass-vlm", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use small-models-for-glam/iconclass-vlm with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "small-models-for-glam/iconclass-vlm"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "small-models-for-glam/iconclass-vlm",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/small-models-for-glam/iconclass-vlm

SGLang

How to use small-models-for-glam/iconclass-vlm 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 "small-models-for-glam/iconclass-vlm" \
    --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": "small-models-for-glam/iconclass-vlm",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "small-models-for-glam/iconclass-vlm" \
        --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": "small-models-for-glam/iconclass-vlm",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use small-models-for-glam/iconclass-vlm with Docker Model Runner:
```
docker model run hf.co/small-models-for-glam/iconclass-vlm
```

davanstrien HF Staff commited on Sep 3, 2025

Commit

d5bfbd8

verified ·

1 Parent(s): ff5c77b

Training in progress, step 300

Browse files

Files changed (3) hide show

model-00001-of-00002.safetensors +1 -1
model-00002-of-00002.safetensors +1 -1
runs/Sep03_01-05-08_j-davanstrien-68b7f671e06829475e8053fa-m5i92ewz-f5717-psseh/events.out.tfevents.1756886745.j-davanstrien-68b7f671e06829475e8053fa-m5i92ewz-f5717-psseh.124.0 +2 -2

model-00001-of-00002.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f649ad7b8e4d31e817df0d5b3a9817994f6e65f94fda5fc2ec3a67cafd75d6ac
 size 4997750760

 version https://git-lfs.github.com/spec/v1
+oid sha256:7bcafd86f234395109beaf2e7e011cde650a06852ecae09626e3fbe305f7b83e
 size 4997750760

model-00002-of-00002.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d9096a4d8bb8d4a7a1b49652e6a93bd81bd767e6cbf620094651c1fc1a328b4
 size 2511587184

 version https://git-lfs.github.com/spec/v1
+oid sha256:ea8c423c1b1a7e19228d69d9aff2c777f98c3819233d468ba58512b48f1b77ce
 size 2511587184

runs/Sep03_01-05-08_j-davanstrien-68b7f671e06829475e8053fa-m5i92ewz-f5717-psseh/events.out.tfevents.1756886745.j-davanstrien-68b7f671e06829475e8053fa-m5i92ewz-f5717-psseh.124.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bfcd2e0ebe1353814a47e8906226dacfd6b0bde2bc81685dc95dca20d9968c73
-size 15862

 version https://git-lfs.github.com/spec/v1
+oid sha256:6b935ac91b680d287ce0556dcdfe66fc5d6bf2dc1209b107148856e3285cdebd
+size 19682