Instructions to use CohereLabs/command-a-plus-05-2026-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CohereLabs/command-a-plus-05-2026-bf16 with Transformers:

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

pipe = pipeline("image-text-to-text", model="CohereLabs/command-a-plus-05-2026-bf16")
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 AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("CohereLabs/command-a-plus-05-2026-bf16")
model = AutoModelForMultimodalLM.from_pretrained("CohereLabs/command-a-plus-05-2026-bf16", 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=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use CohereLabs/command-a-plus-05-2026-bf16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CohereLabs/command-a-plus-05-2026-bf16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CohereLabs/command-a-plus-05-2026-bf16",
		"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/CohereLabs/command-a-plus-05-2026-bf16

SGLang

How to use CohereLabs/command-a-plus-05-2026-bf16 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 "CohereLabs/command-a-plus-05-2026-bf16" \
    --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": "CohereLabs/command-a-plus-05-2026-bf16",
		"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 "CohereLabs/command-a-plus-05-2026-bf16" \
        --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": "CohereLabs/command-a-plus-05-2026-bf16",
		"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 CohereLabs/command-a-plus-05-2026-bf16 with Docker Model Runner:
```
docker model run hf.co/CohereLabs/command-a-plus-05-2026-bf16
```

Terrencez commited on May 29

Commit

623c723

verified ·

1 Parent(s): 2499b8c

Update preprocessor_config.json

Browse files

Files changed (1) hide show

preprocessor_config.json +17 -13

preprocessor_config.json CHANGED Viewed

@@ -1,8 +1,11 @@
 {
-  "image_processor": {
     "crop_to_patches": true,
     "data_format": "channels_first",
     "default_to_square": true,
     "do_convert_rgb": true,
     "do_normalize": true,
     "do_rescale": true,
@@ -10,29 +13,30 @@
     "downsample_factor": 2,
     "end_of_img_token": "<|END_OF_IMG|>",
     "image_mean": [
-      0.5,
-      0.5,
-      0.5
     ],
-    "image_processor_type": "Cohere2VisionImageProcessor",
     "image_std": [
-      0.5,
-      0.5,
-      0.5
     ],
     "img_line_break_token": "<|IMG_LINE_BREAK|>",
     "img_patch_token": "<|IMG_PATCH|>",
     "img_size": 512,
     "max_patches": 12,
     "min_patches": 1,
     "patch_size": 16,
     "resample": 3,
     "rescale_factor": 0.00392156862745098,
     "size": {
-      "height": 512,
-      "width": 512
     },
     "start_of_img_token": "<|START_OF_IMG|>"
-  },
-  "processor_class": "Cohere2VisionProcessor"
-}

 {
+    "crop_size": null,
     "crop_to_patches": true,
     "data_format": "channels_first",
     "default_to_square": true,
+    "device": null,
+    "disable_grouping": null,
+    "do_center_crop": null,
     "do_convert_rgb": true,
     "do_normalize": true,
     "do_rescale": true,
     "downsample_factor": 2,
     "end_of_img_token": "<|END_OF_IMG|>",
     "image_mean": [
+        0.5,
+        0.5,
+        0.5
     ],
+    "image_processor_type": "Cohere2VisionImageProcessorFast",
     "image_std": [
+        0.5,
+        0.5,
+        0.5
     ],
     "img_line_break_token": "<|IMG_LINE_BREAK|>",
     "img_patch_token": "<|IMG_PATCH|>",
     "img_size": 512,
+    "input_data_format": null,
     "max_patches": 12,
     "min_patches": 1,
     "patch_size": 16,
+    "processor_class": "Cohere2VisionProcessor",
     "resample": 3,
     "rescale_factor": 0.00392156862745098,
+    "return_tensors": null,
     "size": {
+        "height": 512,
+        "width": 512
     },
     "start_of_img_token": "<|START_OF_IMG|>"
+}