Instructions to use Arjun-G-Ravi/chat-GPT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Arjun-G-Ravi/chat-GPT2 with Transformers:

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

pipe = pipeline("text-generation", model="Arjun-G-Ravi/chat-GPT2")

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

tokenizer = AutoTokenizer.from_pretrained("Arjun-G-Ravi/chat-GPT2")
model = AutoModelForCausalLM.from_pretrained("Arjun-G-Ravi/chat-GPT2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Arjun-G-Ravi/chat-GPT2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Arjun-G-Ravi/chat-GPT2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Arjun-G-Ravi/chat-GPT2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Arjun-G-Ravi/chat-GPT2

SGLang

How to use Arjun-G-Ravi/chat-GPT2 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 "Arjun-G-Ravi/chat-GPT2" \
    --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": "Arjun-G-Ravi/chat-GPT2",
		"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 "Arjun-G-Ravi/chat-GPT2" \
        --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": "Arjun-G-Ravi/chat-GPT2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Arjun-G-Ravi/chat-GPT2 with Docker Model Runner:
```
docker model run hf.co/Arjun-G-Ravi/chat-GPT2
```

Arjun-G-Ravi commited on Sep 9, 2023

Commit

c5999f6

1 Parent(s): 46ae537

Update README.md

Browse files

Files changed (1) hide show

README.md +10 -2

README.md CHANGED Viewed

@@ -84,11 +84,19 @@ Finetune loss: 0.06
 1. Give me tips to be healthy
 ```
-GPT2:
 ```
 ```
-chat-GPT2:
 ```

 1. Give me tips to be healthy
 ```
+GPT2: Who is the king of the jungle? And where is the king?'
+'Babe: It is in the hills, called the forest.'
+They both said something I hadn't seen before
+They say the king is in his
 ```
 ```
+chat-GPT2: Read the question and give an honest answer. Your answers should not include any unethical, racist, sexist, dangerous, or illegal content. If the question is wrong, or does not make sense, accept it instead of giving the wrong answer.
+Question: Who is the king of the jungle?
+Answer: Lion is the king of the jungle.
 ```