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cssupport
/
t5-small-awesome-text-to-sql

Text Generation
Transformers
PyTorch
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
6

Instructions to use cssupport/t5-small-awesome-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cssupport/t5-small-awesome-text-to-sql with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="cssupport/t5-small-awesome-text-to-sql")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("cssupport/t5-small-awesome-text-to-sql")
    model = AutoModelForSeq2SeqLM.from_pretrained("cssupport/t5-small-awesome-text-to-sql")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use cssupport/t5-small-awesome-text-to-sql with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "cssupport/t5-small-awesome-text-to-sql"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "cssupport/t5-small-awesome-text-to-sql",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/cssupport/t5-small-awesome-text-to-sql
  • SGLang

    How to use cssupport/t5-small-awesome-text-to-sql 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 "cssupport/t5-small-awesome-text-to-sql" \
        --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": "cssupport/t5-small-awesome-text-to-sql",
    		"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 "cssupport/t5-small-awesome-text-to-sql" \
            --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": "cssupport/t5-small-awesome-text-to-sql",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use cssupport/t5-small-awesome-text-to-sql with Docker Model Runner:

    docker model run hf.co/cssupport/t5-small-awesome-text-to-sql
t5-small-awesome-text-to-sql
243 MB
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  • 1 contributor
History: 9 commits
cssupport's picture
cssupport
Update README.md
2f1fd09 over 2 years ago
  • .gitattributes
    1.58 kB
    model file over 2 years ago
  • README.md
    5.64 kB
    Update README.md over 2 years ago
  • config.json
    2.37 kB
    added config over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    242 MB
    xet
    added state dict over 2 years ago
  • special_tokens_map.json
    2.2 kB
    added config files over 2 years ago
  • spiece.model
    792 kB
    xet
    added config files over 2 years ago
  • tokenizer_config.json
    2.41 kB
    added config files over 2 years ago