Instructions to use atomsspawn/DialoGPT-small-dumbledore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use atomsspawn/DialoGPT-small-dumbledore with Transformers:

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

pipe = pipeline("text-generation", model="atomsspawn/DialoGPT-small-dumbledore")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("atomsspawn/DialoGPT-small-dumbledore")
model = AutoModelForCausalLM.from_pretrained("atomsspawn/DialoGPT-small-dumbledore")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use atomsspawn/DialoGPT-small-dumbledore with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/atomsspawn/DialoGPT-small-dumbledore

SGLang

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

Docker Model Runner
How to use atomsspawn/DialoGPT-small-dumbledore with Docker Model Runner:
```
docker model run hf.co/atomsspawn/DialoGPT-small-dumbledore
```

atomsspawn commited on Apr 12, 2022

Commit

df931ad

1 Parent(s): 6b5dca3

v4 12 epochs

Browse files

Files changed (2) hide show

eval_results.txt +1 -1
pytorch_model.bin +1 -1

eval_results.txt CHANGED Viewed

	@@ -1 +1 @@
1	- perplexity = tensor(6.~~1364~~)


1	+ perplexity = tensor(3.5938)

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:224cefd73580bdbdb8be16b3b3e01fc21a98f020f7fbe6af54e4bc14d9ea9c76
 size 510396521

 version https://git-lfs.github.com/spec/v1
+oid sha256:dd62acf6b9cbf6a7bde8a6cb7852e1cae0406edf2f92238f358ec4ee09a37d33
 size 510396521