Instructions to use ZahrizhalAli/phi-1_5-code-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ZahrizhalAli/phi-1_5-code-generation with Transformers:

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

pipe = pipeline("text-generation", model="ZahrizhalAli/phi-1_5-code-generation")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ZahrizhalAli/phi-1_5-code-generation", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ZahrizhalAli/phi-1_5-code-generation with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ZahrizhalAli/phi-1_5-code-generation

SGLang

How to use ZahrizhalAli/phi-1_5-code-generation 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 "ZahrizhalAli/phi-1_5-code-generation" \
    --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": "ZahrizhalAli/phi-1_5-code-generation",
		"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 "ZahrizhalAli/phi-1_5-code-generation" \
        --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": "ZahrizhalAli/phi-1_5-code-generation",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ZahrizhalAli/phi-1_5-code-generation with Docker Model Runner:
```
docker model run hf.co/ZahrizhalAli/phi-1_5-code-generation
```

ZahrizhalAli commited on Sep 19, 2023

Commit

55dacbc

1 Parent(s): 6011931

Training in progress, step 400

Browse files

Files changed (1) hide show

adapter_model.bin +1 -1

adapter_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18a372893afc6a64e38a5432b94b8ad8fe39bc979933d11a0e35e9a9afdc5ed0
 size 18907665

 version https://git-lfs.github.com/spec/v1
+oid sha256:f4975bdc1e3f04a06632c1fd79beeefe1ddc7adc93489f0ea65ca7447a51158b
 size 18907665