Instructions to use af1tang/personaGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use af1tang/personaGPT with Transformers:

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

pipe = pipeline("text-generation", model="af1tang/personaGPT")

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

tokenizer = AutoTokenizer.from_pretrained("af1tang/personaGPT")
model = AutoModelForCausalLM.from_pretrained("af1tang/personaGPT", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use af1tang/personaGPT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "af1tang/personaGPT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "af1tang/personaGPT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/af1tang/personaGPT

SGLang

How to use af1tang/personaGPT 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 "af1tang/personaGPT" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "af1tang/personaGPT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "af1tang/personaGPT" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "af1tang/personaGPT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use af1tang/personaGPT with Docker Model Runner:
```
docker model run hf.co/af1tang/personaGPT
```

af1tang commited on Sep 7, 2021

Commit

7b13971

1 Parent(s): 7332f20

weights update

Browse files

Files changed (6) hide show

added_tokens.json +1 -1
config.json +1 -1
merges.txt +1 -1
pytorch_model.bin +1 -1
tokenizer_config.json +1 -1
vocab.json +0 -0

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config.json CHANGED Viewed

@@ -1,5 +1,5 @@
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merges.txt CHANGED Viewed

@@ -1,4 +1,4 @@
-#version: 0.2 - Trained by `huggingface/tokenizers`
 Ġ t
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 h e

+#version: 0.2
 Ġ t
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 h e

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@@ -1 +1 @@

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vocab.json CHANGED Viewed

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