Instructions to use jesseD/homer-bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use jesseD/homer-bot with Transformers:

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

pipe = pipeline("text-generation", model="jesseD/homer-bot")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("jesseD/homer-bot")
model = AutoModelForCausalLM.from_pretrained("jesseD/homer-bot", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use jesseD/homer-bot with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/jesseD/homer-bot

SGLang

How to use jesseD/homer-bot 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 "jesseD/homer-bot" \
    --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": "jesseD/homer-bot",
		"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 "jesseD/homer-bot" \
        --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": "jesseD/homer-bot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use jesseD/homer-bot with Docker Model Runner:
```
docker model run hf.co/jesseD/homer-bot
```

homer-bot

Commit History

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

32d40ac
verified

jesseD

SFconvertbot commited on Apr 5, 2024

Update README.md

bbd1433

jesseD commited on Mar 24, 2022

add model

865370a

jesseD commited on Mar 24, 2022

add tokenizer

2796466

jesseD commited on Mar 19, 2022

add model

37000a1

jesseD commited on Mar 19, 2022

add tokenizer

44b5694

jesseD commited on Mar 10, 2022