Instructions to use CarperAI/diff-codegen-350m-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CarperAI/diff-codegen-350m-v1 with Transformers:

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

pipe = pipeline("text-generation", model="CarperAI/diff-codegen-350m-v1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CarperAI/diff-codegen-350m-v1")
model = AutoModelForCausalLM.from_pretrained("CarperAI/diff-codegen-350m-v1")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use CarperAI/diff-codegen-350m-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CarperAI/diff-codegen-350m-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CarperAI/diff-codegen-350m-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/CarperAI/diff-codegen-350m-v1

SGLang

How to use CarperAI/diff-codegen-350m-v1 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 "CarperAI/diff-codegen-350m-v1" \
    --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": "CarperAI/diff-codegen-350m-v1",
		"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 "CarperAI/diff-codegen-350m-v1" \
        --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": "CarperAI/diff-codegen-350m-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use CarperAI/diff-codegen-350m-v1 with Docker Model Runner:
```
docker model run hf.co/CarperAI/diff-codegen-350m-v1
```

Missing links in model card.

by crumb - opened Dec 10, 2022

Discussion

crumb

Dec 10, 2022

The line "The datasheet and paper for the Pile can be found here and here respectively." under the Training Data section (line 26 of the readme) is missing the actual links to the datasheet and paper

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