Instructions to use NLP-Final-Project/phi-2-ipo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NLP-Final-Project/phi-2-ipo with Transformers:

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

pipe = pipeline("text-generation", model="NLP-Final-Project/phi-2-ipo")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NLP-Final-Project/phi-2-ipo")
model = AutoModelForCausalLM.from_pretrained("NLP-Final-Project/phi-2-ipo", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NLP-Final-Project/phi-2-ipo with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NLP-Final-Project/phi-2-ipo"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NLP-Final-Project/phi-2-ipo",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NLP-Final-Project/phi-2-ipo

SGLang

How to use NLP-Final-Project/phi-2-ipo 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 "NLP-Final-Project/phi-2-ipo" \
    --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": "NLP-Final-Project/phi-2-ipo",
		"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 "NLP-Final-Project/phi-2-ipo" \
        --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": "NLP-Final-Project/phi-2-ipo",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NLP-Final-Project/phi-2-ipo with Docker Model Runner:
```
docker model run hf.co/NLP-Final-Project/phi-2-ipo
```

suahong commited on May 6

Commit

139cc61

verified ·

1 Parent(s): 6971cb3

Training in progress, epoch 4

Browse files

Files changed (1) hide show

model.safetensors +1 -1

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bad37d93ee8f8ebf2074c3798fe6f075f1d5513e26fd92dca5eb48c122e121b9
 size 5559417912

 version https://git-lfs.github.com/spec/v1
+oid sha256:53a148c054f5fa3139314ab1a3c26ad40c49e5fc15b5104a88bde094fa1edf41
 size 5559417912