Instructions to use diabolic6045/harry_potter_chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use diabolic6045/harry_potter_chatbot with Transformers:

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

pipe = pipeline("text-generation", model="diabolic6045/harry_potter_chatbot")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("diabolic6045/harry_potter_chatbot")
model = AutoModelForCausalLM.from_pretrained("diabolic6045/harry_potter_chatbot")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use diabolic6045/harry_potter_chatbot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "diabolic6045/harry_potter_chatbot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "diabolic6045/harry_potter_chatbot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/diabolic6045/harry_potter_chatbot

SGLang

How to use diabolic6045/harry_potter_chatbot 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 "diabolic6045/harry_potter_chatbot" \
    --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": "diabolic6045/harry_potter_chatbot",
		"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 "diabolic6045/harry_potter_chatbot" \
        --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": "diabolic6045/harry_potter_chatbot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use diabolic6045/harry_potter_chatbot with Docker Model Runner:
```
docker model run hf.co/diabolic6045/harry_potter_chatbot
```

harry_potter_chatbot

Commit History

Adding `safetensors` variant of this model (#1)

8a4f4f6

diabolic6045

SFconvertbot commited on May 2, 2023

Create README.md

c0af931

diabolic6045 commited on May 2, 2023

Initial model upload

558ae3a

shahdivax commited on May 2, 2023

initial commit

3f058bd

Divax Shah commited on May 2, 2023

Commit History

Adding `safetensors` variant of this model (#1) 8a4f4f6

Create README.md c0af931

Initial model upload 558ae3a

initial commit 3f058bd

Adding `safetensors` variant of this model (#1)

8a4f4f6

Create README.md

c0af931

Initial model upload

558ae3a

initial commit

3f058bd