Instructions to use nielsr/udop-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/udop-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="nielsr/udop-large")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nielsr/udop-large") model = AutoModelForMultimodalLM.from_pretrained("nielsr/udop-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use nielsr/udop-large with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nielsr/udop-large" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nielsr/udop-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nielsr/udop-large
- SGLang
How to use nielsr/udop-large 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 "nielsr/udop-large" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nielsr/udop-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "nielsr/udop-large" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nielsr/udop-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nielsr/udop-large with Docker Model Runner:
docker model run hf.co/nielsr/udop-large
Upload processor
Browse files- tokenizer_config.json +4 -0
tokenizer_config.json
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],
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"only_label_first_subword": true,
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"pad_token": "<pad>",
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"pad_token_box": [
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0,
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1000,
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1000
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],
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"tokenizer_class": "UdopTokenizer",
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"unk_token": "<unk>"
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}
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],
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"loc_extra_ids": 501,
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"model_max_length": 1000000000000000019884624838656,
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"only_label_first_subword": true,
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"other_extra_ids": 200,
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"pad_token": "<pad>",
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"pad_token_box": [
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0,
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1000,
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1000
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],
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"sp_model_kwargs": {},
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"tokenizer_class": "UdopTokenizer",
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"unk_token": "<unk>"
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}
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