Instructions to use tlemenestrel/Churchill-GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tlemenestrel/Churchill-GPT with Transformers:

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

pipe = pipeline("text-generation", model="tlemenestrel/Churchill-GPT")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tlemenestrel/Churchill-GPT")
model = AutoModelForCausalLM.from_pretrained("tlemenestrel/Churchill-GPT")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tlemenestrel/Churchill-GPT with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/tlemenestrel/Churchill-GPT

SGLang

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

Docker Model Runner
How to use tlemenestrel/Churchill-GPT with Docker Model Runner:
```
docker model run hf.co/tlemenestrel/Churchill-GPT
```

Churchill-GPT

Commit History

Upload tokenizer

61fac9f

tlemenestrel commited on Feb 2, 2023

Upload tokenizer

481da9e

tlemenestrel commited on Feb 2, 2023

Upload tokenizer

5d8a189

tlemenestrel commited on Feb 2, 2023

update model card README.md

c6d12d7

Thomas Le Menestrel commited on Feb 2, 2023

End of training

b968270

Thomas Le Menestrel commited on Feb 1, 2023

initial commit

324bd8b

Thomas Le Menestrel commited on Feb 1, 2023

Commit History

Upload tokenizer 61fac9f

Upload tokenizer 481da9e

Upload tokenizer 5d8a189

update model card README.md c6d12d7

End of training b968270

initial commit 324bd8b

Upload tokenizer

61fac9f

Upload tokenizer

481da9e

Upload tokenizer

5d8a189

update model card README.md

c6d12d7

End of training

b968270

initial commit

324bd8b