Instructions to use bertin-project/bertin-gpt-j-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bertin-project/bertin-gpt-j-6B with Transformers:

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

pipe = pipeline("text-generation", model="bertin-project/bertin-gpt-j-6B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-gpt-j-6B")
model = AutoModelForCausalLM.from_pretrained("bertin-project/bertin-gpt-j-6B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bertin-project/bertin-gpt-j-6B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bertin-project/bertin-gpt-j-6B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bertin-project/bertin-gpt-j-6B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bertin-project/bertin-gpt-j-6B

SGLang

How to use bertin-project/bertin-gpt-j-6B 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 "bertin-project/bertin-gpt-j-6B" \
    --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": "bertin-project/bertin-gpt-j-6B",
		"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 "bertin-project/bertin-gpt-j-6B" \
        --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": "bertin-project/bertin-gpt-j-6B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bertin-project/bertin-gpt-j-6B with Docker Model Runner:
```
docker model run hf.co/bertin-project/bertin-gpt-j-6B
```

versae commited on Apr 28, 2022

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d99da4a

1 Parent(s): fb465ec

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@@ -104,6 +104,15 @@ To cite this model:
 If you use this model, we would love to hear about it! Reach out on twitter, GitHub, Discord, or shoot us an email.
 ## Acknowledgements
 This project would not have been possible without compute generously provided by the National Library of Norway and Google through the

 If you use this model, we would love to hear about it! Reach out on twitter, GitHub, Discord, or shoot us an email.
+## Team
+- Javier de la Rosa ([versae](https://huggingface.co/versae))
+- Eduardo González ([edugp](https://huggingface.co/edugp))
+- Paulo Villegas ([paulo](https://huggingface.co/paulo))
+- Pablo González de Prado ([Pablogps](https://huggingface.co/Pablogps))
+- Manu Romero ([mrm8488](https://huggingface.co/))
+- María Grandury ([mariagrandury](https://huggingface.co/))
 ## Acknowledgements
 This project would not have been possible without compute generously provided by the National Library of Norway and Google through the