Instructions to use tiny-random/glm-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tiny-random/glm-ocr with Transformers:

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

pipe = pipeline("image-text-to-text", model="tiny-random/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("tiny-random/glm-ocr")
model = AutoModelForImageTextToText.from_pretrained("tiny-random/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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use tiny-random/glm-ocr with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tiny-random/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": "tiny-random/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/tiny-random/glm-ocr

SGLang

How to use tiny-random/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 "tiny-random/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": "tiny-random/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 "tiny-random/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": "tiny-random/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 tiny-random/glm-ocr with Docker Model Runner:
```
docker model run hf.co/tiny-random/glm-ocr
```

yujiepan commited on Feb 14

Commit

c5282ed

verified ·

1 Parent(s): 2fd105c

Upload folder using huggingface_hub

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Files changed (2) hide show

README.md +2 -0
model.safetensors +2 -2

README.md CHANGED Viewed

@@ -143,6 +143,7 @@ model.model.language_model.layers.append(nn.ModuleDict(dict(
     enorm=nn.RMSNorm(config.hidden_size),
     hnorm=nn.RMSNorm(config.hidden_size),
     input_layernorm=nn.RMSNorm(config.hidden_size),
     post_attention_layernorm=nn.RMSNorm(config.hidden_size),
     post_self_attn_layernorm=nn.RMSNorm(config.hidden_size),
     self_attn=deepcopy(model.model.language_model.layers[1].self_attn),
@@ -229,6 +230,7 @@ GlmOcrForConditionalGeneration(
           (enorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (hnorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (input_layernorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (post_attention_layernorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (post_self_attn_layernorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (self_attn): GlmOcrTextAttention(

     enorm=nn.RMSNorm(config.hidden_size),
     hnorm=nn.RMSNorm(config.hidden_size),
     input_layernorm=nn.RMSNorm(config.hidden_size),
+    post_mlp_layernorm=nn.RMSNorm(config.hidden_size),
     post_attention_layernorm=nn.RMSNorm(config.hidden_size),
     post_self_attn_layernorm=nn.RMSNorm(config.hidden_size),
     self_attn=deepcopy(model.model.language_model.layers[1].self_attn),
           (enorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (hnorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (input_layernorm): RMSNorm((8,), eps=None, elementwise_affine=True)
+          (post_mlp_layernorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (post_attention_layernorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (post_self_attn_layernorm): RMSNorm((8,), eps=None, elementwise_affine=True)
           (self_attn): GlmOcrTextAttention(

model.safetensors CHANGED Viewed

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