Instructions to use nicholasbien/gpt2_lmd_ppo_rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nicholasbien/gpt2_lmd_ppo_rm with Transformers:

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

pipe = pipeline("text-generation", model="nicholasbien/gpt2_lmd_ppo_rm")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nicholasbien/gpt2_lmd_ppo_rm")
model = AutoModelForCausalLM.from_pretrained("nicholasbien/gpt2_lmd_ppo_rm")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use nicholasbien/gpt2_lmd_ppo_rm with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nicholasbien/gpt2_lmd_ppo_rm"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nicholasbien/gpt2_lmd_ppo_rm",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/nicholasbien/gpt2_lmd_ppo_rm

SGLang

How to use nicholasbien/gpt2_lmd_ppo_rm 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 "nicholasbien/gpt2_lmd_ppo_rm" \
    --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": "nicholasbien/gpt2_lmd_ppo_rm",
		"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 "nicholasbien/gpt2_lmd_ppo_rm" \
        --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": "nicholasbien/gpt2_lmd_ppo_rm",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use nicholasbien/gpt2_lmd_ppo_rm with Docker Model Runner:
```
docker model run hf.co/nicholasbien/gpt2_lmd_ppo_rm
```

nicholasbien commited on Oct 18, 2024

Commit

e476ff4

verified ·

1 Parent(s): cf720ed

Upload model

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 sha256:0d16b2775bff58e0d0d33da820041fde8b0c6224ee938d9be442062e7cf45051
 size 497777468

 version https://git-lfs.github.com/spec/v1
+oid sha256:3508bb73ce7655edf2371555cff54c50219d4642e4076749d6aaba0c058bfa9b
 size 497777468