Instructions to use LarkAI/bart_large_nl2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LarkAI/bart_large_nl2sql with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LarkAI/bart_large_nl2sql")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LarkAI/bart_large_nl2sql") model = AutoModel.from_pretrained("LarkAI/bart_large_nl2sql") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use LarkAI/bart_large_nl2sql with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LarkAI/bart_large_nl2sql" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LarkAI/bart_large_nl2sql", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LarkAI/bart_large_nl2sql
- SGLang
How to use LarkAI/bart_large_nl2sql 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 "LarkAI/bart_large_nl2sql" \ --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": "LarkAI/bart_large_nl2sql", "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 "LarkAI/bart_large_nl2sql" \ --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": "LarkAI/bart_large_nl2sql", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LarkAI/bart_large_nl2sql with Docker Model Runner:
docker model run hf.co/LarkAI/bart_large_nl2sql
Commit ·
95dcf50
1
Parent(s): c8f0759
Upload tokenizer
Browse files- merges.txt +0 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.json +0 -0
merges.txt
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 1024,
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"name_or_path": "/mnt/workspace/dataset/LLM_SQL/bart_large_nl2sql",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "BartTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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