Image-Text-to-Text
Transformers
Safetensors
multilingual
internvl_chat
feature-extraction
internvl
custom_code
conversational
Instructions to use OpenGVLab/Mini-InternVL2-2B-DA-DriveLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/Mini-InternVL2-2B-DA-DriveLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="OpenGVLab/Mini-InternVL2-2B-DA-DriveLM", 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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/Mini-InternVL2-2B-DA-DriveLM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use OpenGVLab/Mini-InternVL2-2B-DA-DriveLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OpenGVLab/Mini-InternVL2-2B-DA-DriveLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenGVLab/Mini-InternVL2-2B-DA-DriveLM", "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/OpenGVLab/Mini-InternVL2-2B-DA-DriveLM
- SGLang
How to use OpenGVLab/Mini-InternVL2-2B-DA-DriveLM 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 "OpenGVLab/Mini-InternVL2-2B-DA-DriveLM" \ --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": "OpenGVLab/Mini-InternVL2-2B-DA-DriveLM", "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 "OpenGVLab/Mini-InternVL2-2B-DA-DriveLM" \ --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": "OpenGVLab/Mini-InternVL2-2B-DA-DriveLM", "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 OpenGVLab/Mini-InternVL2-2B-DA-DriveLM with Docker Model Runner:
docker model run hf.co/OpenGVLab/Mini-InternVL2-2B-DA-DriveLM
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "</s>", | |
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| "92539": { | |
| "content": "<|interpreter|>", | |
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| "92542": { | |
| "content": "<|im_end|>", | |
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| "content": "<|im_start|>", | |
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| "92544": { | |
| "content": "<img>", | |
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| "normalized": false, | |
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| "single_word": false, | |
| "special": true | |
| }, | |
| "92545": { | |
| "content": "</img>", | |
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| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "92546": { | |
| "content": "<IMG_CONTEXT>", | |
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| }, | |
| "92547": { | |
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| "content": "</ref>", | |
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| }, | |
| "92551": { | |
| "content": "<box>", | |
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| }, | |
| "92552": { | |
| "content": "</box>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|action_start|>", | |
| "<|action_end|>", | |
| "<|interpreter|>", | |
| "<|plugin|>", | |
| "<img>", | |
| "</img>", | |
| "<IMG_CONTEXT>", | |
| "<quad>", | |
| "</quad>", | |
| "<ref>", | |
| "</ref>", | |
| "<box>", | |
| "</box>" | |
| ], | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_internlm2.InternLM2Tokenizer", | |
| null | |
| ] | |
| }, | |
| "bos_token": "<s>", | |
| "chat_template": "{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "model_max_length": 8192, | |
| "pad_token": "</s>", | |
| "tokenizer_class": "InternLM2Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |