Instructions to use pszemraj/mGPT-Peter-mwe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pszemraj/mGPT-Peter-mwe with Transformers:

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

pipe = pipeline("text-generation", model="pszemraj/mGPT-Peter-mwe")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pszemraj/mGPT-Peter-mwe")
model = AutoModelForCausalLM.from_pretrained("pszemraj/mGPT-Peter-mwe", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pszemraj/mGPT-Peter-mwe with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/pszemraj/mGPT-Peter-mwe

SGLang

How to use pszemraj/mGPT-Peter-mwe 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 "pszemraj/mGPT-Peter-mwe" \
    --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": "pszemraj/mGPT-Peter-mwe",
		"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 "pszemraj/mGPT-Peter-mwe" \
        --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": "pszemraj/mGPT-Peter-mwe",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pszemraj/mGPT-Peter-mwe with Docker Model Runner:
```
docker model run hf.co/pszemraj/mGPT-Peter-mwe
```

pszemraj commited on Apr 28, 2022

Commit

5c85d30

1 Parent(s): 6b0315d

Update README.md

Browse files

Files changed (1) hide show

README.md +11 -4

README.md CHANGED Viewed

@@ -1,10 +1,17 @@
 ---
 license: apache-2.0
 tags:
-- generated_from_trainer
-model-index:
-- name: mGPT-gpt-pierre_DS-msgs-df_Ep-2_Bs-4
-  results: []
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

 ---
 license: apache-2.0
+pipeline_tag: text-generation
 tags:
+- multilingual
+- PyTorch
+- Transformers
+- gpt3
+- gpt2
+- Deepspeed
+- Megatron
+datasets:
+- mc4
+- wikipedia
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You