Instructions to use KefanSong/ppo_iter_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KefanSong/ppo_iter_14 with Transformers:

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

pipe = pipeline("text-generation", model="KefanSong/ppo_iter_14")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KefanSong/ppo_iter_14")
model = AutoModelForCausalLM.from_pretrained("KefanSong/ppo_iter_14", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use KefanSong/ppo_iter_14 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KefanSong/ppo_iter_14"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KefanSong/ppo_iter_14",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/KefanSong/ppo_iter_14

SGLang

How to use KefanSong/ppo_iter_14 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 "KefanSong/ppo_iter_14" \
    --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": "KefanSong/ppo_iter_14",
		"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 "KefanSong/ppo_iter_14" \
        --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": "KefanSong/ppo_iter_14",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use KefanSong/ppo_iter_14 with Docker Model Runner:
```
docker model run hf.co/KefanSong/ppo_iter_14
```

ppo_iter_14

Commit History

Upload config

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Gary Song commited on Aug 31, 2024

Upload tokenizer

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Gary Song commited on Aug 31, 2024

Upload model

f131fe1
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Gary Song commited on Aug 31, 2024

initial commit

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Gary Song commited on Aug 31, 2024

Commit History

Upload config 3f245ca verified

Upload tokenizer 358b000 verified

Upload model f131fe1 verified

initial commit 5564930 verified

Upload config

3f245ca
verified

Upload tokenizer

358b000
verified

Upload model

f131fe1
verified

initial commit

5564930
verified