Instructions to use pavankumarbalijepalli/phi2-nl2sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pavankumarbalijepalli/phi2-nl2sql-lora with Transformers:

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

pipe = pipeline("text-generation", model="pavankumarbalijepalli/phi2-nl2sql-lora", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pavankumarbalijepalli/phi2-nl2sql-lora", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("pavankumarbalijepalli/phi2-nl2sql-lora", trust_remote_code=True)

PEFT
How to use pavankumarbalijepalli/phi2-nl2sql-lora with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pavankumarbalijepalli/phi2-nl2sql-lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pavankumarbalijepalli/phi2-nl2sql-lora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pavankumarbalijepalli/phi2-nl2sql-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pavankumarbalijepalli/phi2-nl2sql-lora

SGLang

How to use pavankumarbalijepalli/phi2-nl2sql-lora 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 "pavankumarbalijepalli/phi2-nl2sql-lora" \
    --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": "pavankumarbalijepalli/phi2-nl2sql-lora",
		"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 "pavankumarbalijepalli/phi2-nl2sql-lora" \
        --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": "pavankumarbalijepalli/phi2-nl2sql-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pavankumarbalijepalli/phi2-nl2sql-lora with Docker Model Runner:
```
docker model run hf.co/pavankumarbalijepalli/phi2-nl2sql-lora
```

pavankumarbalijepalli commited on Feb 21, 2024

Commit

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@@ -1,12 +1,22 @@
 ---
 library_name: transformers
-tags: []
 ---
 # Model Card for Model ID
 <!-- Provide a quick summary of what the model is/does. -->
 ## Model Details
@@ -17,13 +27,13 @@ tags: []
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
 ### Model Sources [optional]
@@ -196,6 +206,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ## Model Card Contact
-[More Information Needed]

 ---
 library_name: transformers
+tags:
+- research
+- lora
+- nl2sql
+- sql
+license: mit
+datasets:
+- b-mc2/sql-create-context
+language:
+- en
+pipeline_tag: text-generation
 ---
 # Model Card for Model ID
 <!-- Provide a quick summary of what the model is/does. -->
+phi2-nl2sql is a finetuned model of phi-2. The dataset used is `b-mc2/sql-create-context`. This is a base model for the upcoming `gguf` version.
 ## Model Details
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+- **Developed by:** Pavan Kumar Balijepalli
+- **Funded by [optional]:** Pavan Kumar Balijepalli
+- **Shared by [optional]:** Pavan Kumar Balijepalli
+- **Model type:** Casual_LM
+- **Language(s) (NLP):** English, SQL
+- **License:** MIT
+- **Finetuned from model [optional]:** microsoft/phi-2
 ### Model Sources [optional]
 ## Model Card Contact
+[More Information Needed]