Instructions to use EricWesthoff/phi-1_5-finetuned-SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EricWesthoff/phi-1_5-finetuned-SQL with Transformers:

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

pipe = pipeline("text-generation", model="EricWesthoff/phi-1_5-finetuned-SQL", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("EricWesthoff/phi-1_5-finetuned-SQL", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use EricWesthoff/phi-1_5-finetuned-SQL with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EricWesthoff/phi-1_5-finetuned-SQL"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EricWesthoff/phi-1_5-finetuned-SQL",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/EricWesthoff/phi-1_5-finetuned-SQL

SGLang

How to use EricWesthoff/phi-1_5-finetuned-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 "EricWesthoff/phi-1_5-finetuned-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": "EricWesthoff/phi-1_5-finetuned-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 "EricWesthoff/phi-1_5-finetuned-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": "EricWesthoff/phi-1_5-finetuned-SQL",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use EricWesthoff/phi-1_5-finetuned-SQL with Docker Model Runner:
```
docker model run hf.co/EricWesthoff/phi-1_5-finetuned-SQL
```

EricWesthoff commited on Oct 25, 2023

Commit

88c5fbe

1 Parent(s): f9e4646

End of training

Browse files

Files changed (3) hide show

README.md +2 -6
adapter_model.bin +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -34,15 +34,11 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
 - train_batch_size: 4
-- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- training_steps: 5000
-### Training results
 ### Framework versions

 The following hyperparameters were used during training:
 - learning_rate: 0.0002
 - train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
+- num_epochs: 5
 ### Framework versions

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