Instructions to use zai-org/GLM-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/GLM-OCR with Transformers:

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

pipe = pipeline("image-text-to-text", model="zai-org/GLM-OCR")
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)

# Load model directly
from transformers import AutoTokenizer, AutoModelForImageTextToText

tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-OCR")
model = AutoModelForImageTextToText.from_pretrained("zai-org/GLM-OCR")
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 = 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

vLLM

How to use zai-org/GLM-OCR with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zai-org/GLM-OCR"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/GLM-OCR",
		"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/zai-org/GLM-OCR

SGLang

How to use zai-org/GLM-OCR 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 "zai-org/GLM-OCR" \
    --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": "zai-org/GLM-OCR",
		"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 "zai-org/GLM-OCR" \
        --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": "zai-org/GLM-OCR",
		"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 zai-org/GLM-OCR with Docker Model Runner:
```
docker model run hf.co/zai-org/GLM-OCR
```

Add OlmOCRBench evaluation results

#43

by staghado - opened Mar 5

base: refs/heads/main

←

from: refs/pr/43

Discussion Files changed

+73

-0

Files changed (1) hide show

.eval_results/olmocrbench.yaml +73 -0

.eval_results/olmocrbench.yaml ADDED Viewed

	@@ -0,0 +1,73 @@

+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: overall
+  value: 75.2
+  notes: "Excluding Headers & Footers category. Using ZAI API."
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: arxiv_math
+  value: 80.7
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: old_scans_math
+  value: 68.3
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: table_tests
+  value: 77.6
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: old_scans
+  value: 37.6
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: multi_column
+  value: 76.7
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: long_tiny_text
+  value: 86.9
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: headers_footers
+  value: 95.8
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado
+- dataset:
+    id: allenai/olmOCR-bench
+    task_id: baseline
+  value: 98.8
+  source:
+    url: https://huggingface.co/zai-org/GLM-OCR
+    name: GLM-OCR API evaluation
+    user: staghado