Instructions to use PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF", trust_remote_code=True) 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 AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF", "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/PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF
- SGLang
How to use PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF 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 "PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF" \ --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": "PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF", "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 "PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF" \ --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": "PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF", "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 PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF with Docker Model Runner:
docker model run hf.co/PerRing/InternVL-MoonViT-V2-MiniCPM5-2B-HF
File size: 810 Bytes
56d2875 c2c154c 56d2875 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"auto_map": {
"AutoProcessor": "processing_internvl_moonvit.InternVLMoonViTProcessor"
},
"end_image_token": "</img>",
"image_processor": {
"auto_map": {
"AutoImageProcessor": "image_processing_moonvit.MoonViTImageProcessor",
"AutoProcessor": "processing_internvl_moonvit.InternVLMoonViTProcessor"
},
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "MoonViTImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"in_token_limit": 25600,
"max_num_frames": 4,
"merge_kernel_size": [
2,
2
],
"pad_input": true,
"patch_limit_on_one_side": 512,
"patch_size": 14
},
"image_token": "<IMG_CONTEXT>",
"processor_class": "InternVLMoonViTProcessor",
"start_image_token": "<img>"
}
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