Instructions to use Langame/distilgpt2-starter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Langame/distilgpt2-starter with Transformers:

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

pipe = pipeline("text-generation", model="Langame/distilgpt2-starter")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Langame/distilgpt2-starter")
model = AutoModelForCausalLM.from_pretrained("Langame/distilgpt2-starter")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Langame/distilgpt2-starter with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Langame/distilgpt2-starter"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Langame/distilgpt2-starter",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Langame/distilgpt2-starter

SGLang

How to use Langame/distilgpt2-starter 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 "Langame/distilgpt2-starter" \
    --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": "Langame/distilgpt2-starter",
		"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 "Langame/distilgpt2-starter" \
        --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": "Langame/distilgpt2-starter",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Langame/distilgpt2-starter with Docker Model Runner:
```
docker model run hf.co/Langame/distilgpt2-starter
```

louis030195 commited on Jan 28, 2022

Commit

9f1d5cf

1 Parent(s): d8753f5

Training in progress, step 500

Browse files

Files changed (5) hide show

config.json +2 -2
pytorch_model.bin +1 -1
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runs/Jan28_16-59-28_1f25944bc523/events.out.tfevents.1643389724.1f25944bc523.834.0 +3 -0
training_args.bin +1 -1

config.json CHANGED Viewed

@@ -8,7 +8,7 @@
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   "embd_pdrop": 0.1,
-  "eos_token_id": 198,
   "id2label": {
     "0": "LABEL_0"
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@@ -40,7 +40,7 @@
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   "use_cache": true,
   "vocab_size": 50257
 }

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