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

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 22, 2023

Commit

1834bea

1 Parent(s): fcfc3b3

Training in progress, epoch 0

Browse files

Files changed (3) hide show

adapter_config.json +1 -1
adapter_model.bin +2 -2
training_args.bin +1 -1

adapter_config.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "auto_mapping": null,
-  "base_model_name_or_path": null,
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

 {
   "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/phi-1_5",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b481481e7bc3bfe6ef818736acd3b2a105fe6a64c6dd303750a470d059a97a93
-size 18911374

 version https://git-lfs.github.com/spec/v1
+oid sha256:bf9a5856f429225666ca2d87b3ea6710bc9bd64850f87dba9eb9aa2558cf2083
+size 18908110

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f00ed73579485c3eb3e4917183efef1faafebf135f6315ebd0bc59a2ae93be8
 size 4536

 version https://git-lfs.github.com/spec/v1
+oid sha256:70d1dad65e1a27c4864dde7d4220704056a616c65ab5518da2ba431fc9826e60
 size 4536