Instructions to use BluebrainAI/gpt2-medium-wikitext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BluebrainAI/gpt2-medium-wikitext with Transformers:

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

pipe = pipeline("text-generation", model="BluebrainAI/gpt2-medium-wikitext")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BluebrainAI/gpt2-medium-wikitext")
model = AutoModelForCausalLM.from_pretrained("BluebrainAI/gpt2-medium-wikitext")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use BluebrainAI/gpt2-medium-wikitext with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BluebrainAI/gpt2-medium-wikitext"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BluebrainAI/gpt2-medium-wikitext",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BluebrainAI/gpt2-medium-wikitext

SGLang

How to use BluebrainAI/gpt2-medium-wikitext 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 "BluebrainAI/gpt2-medium-wikitext" \
    --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": "BluebrainAI/gpt2-medium-wikitext",
		"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 "BluebrainAI/gpt2-medium-wikitext" \
        --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": "BluebrainAI/gpt2-medium-wikitext",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use BluebrainAI/gpt2-medium-wikitext with Docker Model Runner:
```
docker model run hf.co/BluebrainAI/gpt2-medium-wikitext
```

gpt2-medium-wikitext / eval_results.json

shivanandmn

Training in progress, step 500

34ab798 verified about 1 year ago

raw

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342 Bytes

	{
	"epoch": 5.0,
	"eval_accuracy": 0.42229081690787607,
	"eval_bleu": 0.14716948360816273,
	"eval_loss": 3.162383794784546,
	"eval_perplexity": 23.6268504156496,
	"eval_runtime": 19.5717,
	"eval_samples": 1141,
	"eval_samples_per_second": 58.298,
	"eval_steps_per_second": 0.92,
	"perplexity": 23.6268504156496
	}