Instructions to use pineappleSoup/DialoGPT-medium-707 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pineappleSoup/DialoGPT-medium-707 with Transformers:

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

pipe = pipeline("text-generation", model="pineappleSoup/DialoGPT-medium-707")

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

tokenizer = AutoTokenizer.from_pretrained("pineappleSoup/DialoGPT-medium-707")
model = AutoModelForCausalLM.from_pretrained("pineappleSoup/DialoGPT-medium-707", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pineappleSoup/DialoGPT-medium-707 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pineappleSoup/DialoGPT-medium-707"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pineappleSoup/DialoGPT-medium-707",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/pineappleSoup/DialoGPT-medium-707

SGLang

How to use pineappleSoup/DialoGPT-medium-707 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 "pineappleSoup/DialoGPT-medium-707" \
    --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": "pineappleSoup/DialoGPT-medium-707",
		"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 "pineappleSoup/DialoGPT-medium-707" \
        --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": "pineappleSoup/DialoGPT-medium-707",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use pineappleSoup/DialoGPT-medium-707 with Docker Model Runner:
```
docker model run hf.co/pineappleSoup/DialoGPT-medium-707
```

pineappleSoup commited on Oct 21, 2024

Commit

bc2df33

verified ·

1 Parent(s): b543f9f

Fixed dataset link

Browse files

Files changed (1) hide show

README.md +3 -2

README.md CHANGED Viewed

@@ -5,8 +5,9 @@ language:
 - en
 base_model:
 - microsoft/DialoGPT-medium
 ---
 # 707 DialoGPT Model
-Chatbot for the character 707 from Mystic Messenger.
-Dataset: https://www.kaggle.com/datasets/pineapplesoup/707-messages

 - en
 base_model:
 - microsoft/DialoGPT-medium
+datasets:
+- pineappleSoup/707_transcripts
 ---
 # 707 DialoGPT Model
+Chatbot for the character 707 from Mystic Messenger.