Instructions to use xcodemind/UICoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xcodemind/UICoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="xcodemind/UICoder")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("xcodemind/UICoder") model = AutoModelForImageTextToText.from_pretrained("xcodemind/UICoder") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use xcodemind/UICoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "xcodemind/UICoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "xcodemind/UICoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/xcodemind/UICoder
- SGLang
How to use xcodemind/UICoder 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 "xcodemind/UICoder" \ --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": "xcodemind/UICoder", "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 "xcodemind/UICoder" \ --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": "xcodemind/UICoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use xcodemind/UICoder with Docker Model Runner:
docker model run hf.co/xcodemind/UICoder
File size: 1,052 Bytes
795442f d132521 795442f | 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 37 38 39 40 41 | {
"_name_or_path": "/data02/users/lz/code/UICoder/checkpoints/stage0/l2048_p1024_vu_3m*3/checkpoint-90000",
"architectures": [
"Pix2StructForConditionalGeneration"
],
"decoder_start_token_id": 0,
"eos_token_id": 1,
"bos_token_id": 2,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"is_encoder_decoder": true,
"is_vqa": false,
"model_type": "pix2struct",
"pad_token_id": 0,
"text_config": {
"d_ff": 3968,
"encoder_hidden_size": 1536,
"hidden_size": 1536,
"initializer_range": 0.02,
"model_type": "pix2struct_text_model",
"num_heads": 24,
"num_layers": 18,
"vocab_size": 50344
},
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.40.2",
"vision_config": {
"d_ff": 3968,
"hidden_size": 1536,
"initializer_range": 0.02,
"layer_norm_bias": false,
"model_type": "pix2struct_vision_model",
"num_attention_heads": 24,
"num_channels": 3,
"num_hidden_layers": 18,
"patch_size": 16,
"projection_dim": 768
}
}
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