Instructions to use LarkAI/codet5p-770m_nl2sql_oig with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LarkAI/codet5p-770m_nl2sql_oig with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="LarkAI/codet5p-770m_nl2sql_oig")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("LarkAI/codet5p-770m_nl2sql_oig")
model = AutoModelForSeq2SeqLM.from_pretrained("LarkAI/codet5p-770m_nl2sql_oig")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use LarkAI/codet5p-770m_nl2sql_oig with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LarkAI/codet5p-770m_nl2sql_oig"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LarkAI/codet5p-770m_nl2sql_oig",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LarkAI/codet5p-770m_nl2sql_oig

SGLang

How to use LarkAI/codet5p-770m_nl2sql_oig 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/codet5p-770m_nl2sql_oig" \
    --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/codet5p-770m_nl2sql_oig",
		"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/codet5p-770m_nl2sql_oig" \
        --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/codet5p-770m_nl2sql_oig",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LarkAI/codet5p-770m_nl2sql_oig with Docker Model Runner:
```
docker model run hf.co/LarkAI/codet5p-770m_nl2sql_oig
```

JacksonLark commited on May 23, 2023

Commit

b8ff058

1 Parent(s): e8c5524

Update tokenizer_config.json

Browse files

Files changed (1) hide show

tokenizer_config.json +2 -2

tokenizer_config.json CHANGED Viewed

@@ -34,7 +34,7 @@
     "single_word": false
   },
   "model_max_length": 512,
-  "name_or_path": "/mnt/workspace/dataset/LLM_SQL/codet5p-770m_nl2sql_oig",
   "pad_token": {
     "__type": "AddedToken",
     "content": "<pad>",
@@ -51,7 +51,7 @@
     "rstrip": false,
     "single_word": false
   },
-  "special_tokens_map_file": "/home/admin/.cache/huggingface/hub/models--Salesforce--codet5p-770m/snapshots/627d346e49cb68e600895ab8744e0e1efd5c4536/special_tokens_map.json",
   "tokenizer_class": "RobertaTokenizer",
   "trim_offsets": true,
   "unk_token": {

     "single_word": false
   },
   "model_max_length": 512,
+  "name_or_path": "LarkAI/codet5p-770m_nl2sql_oig",
   "pad_token": {
     "__type": "AddedToken",
     "content": "<pad>",
     "rstrip": false,
     "single_word": false
   },
+  "special_tokens_map_file": "./special_tokens_map.json",
   "tokenizer_class": "RobertaTokenizer",
   "trim_offsets": true,
   "unk_token": {