Instructions to use Invincible/Chat_bot-Harrypotter-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Invincible/Chat_bot-Harrypotter-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Invincible/Chat_bot-Harrypotter-medium") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Invincible/Chat_bot-Harrypotter-medium") model = AutoModelForCausalLM.from_pretrained("Invincible/Chat_bot-Harrypotter-medium") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Invincible/Chat_bot-Harrypotter-medium with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Invincible/Chat_bot-Harrypotter-medium" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Invincible/Chat_bot-Harrypotter-medium", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Invincible/Chat_bot-Harrypotter-medium
- SGLang
How to use Invincible/Chat_bot-Harrypotter-medium 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 "Invincible/Chat_bot-Harrypotter-medium" \ --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": "Invincible/Chat_bot-Harrypotter-medium", "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 "Invincible/Chat_bot-Harrypotter-medium" \ --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": "Invincible/Chat_bot-Harrypotter-medium", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Invincible/Chat_bot-Harrypotter-medium with Docker Model Runner:
docker model run hf.co/Invincible/Chat_bot-Harrypotter-medium
How to use from
SGLangUse 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 "Invincible/Chat_bot-Harrypotter-medium" \
--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": "Invincible/Chat_bot-Harrypotter-medium",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'Quick Links
#harry potter
- Downloads last month
- 5
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Invincible/Chat_bot-Harrypotter-medium" \ --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": "Invincible/Chat_bot-Harrypotter-medium", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'