Instructions to use neuesql/sqltransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuesql/sqltransformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="neuesql/sqltransformer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neuesql/sqltransformer") model = AutoModelForSeq2SeqLM.from_pretrained("neuesql/sqltransformer") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use neuesql/sqltransformer with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "neuesql/sqltransformer" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "neuesql/sqltransformer", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/neuesql/sqltransformer
- SGLang
How to use neuesql/sqltransformer 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 "neuesql/sqltransformer" \ --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": "neuesql/sqltransformer", "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 "neuesql/sqltransformer" \ --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": "neuesql/sqltransformer", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use neuesql/sqltransformer with Docker Model Runner:
docker model run hf.co/neuesql/sqltransformer
Update config.json
Browse files- config.json +3 -3
config.json
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length":
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"translation_en_to_fr": {
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"max_length":
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"num_beams": 4,
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"prefix": "translate English to French: "
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length":
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 1024,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 1024,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 1024,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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