Instructions to use Payoto/gpt2-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Payoto/gpt2-finetuned-wikitext2 with Transformers:

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

pipe = pipeline("text-generation", model="Payoto/gpt2-finetuned-wikitext2")

# Load model directly
from transformers import AutoTokenizer, AutoModelWithLMHead

tokenizer = AutoTokenizer.from_pretrained("Payoto/gpt2-finetuned-wikitext2")
model = AutoModelWithLMHead.from_pretrained("Payoto/gpt2-finetuned-wikitext2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Payoto/gpt2-finetuned-wikitext2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Payoto/gpt2-finetuned-wikitext2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Payoto/gpt2-finetuned-wikitext2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Payoto/gpt2-finetuned-wikitext2

SGLang

How to use Payoto/gpt2-finetuned-wikitext2 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 "Payoto/gpt2-finetuned-wikitext2" \
    --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": "Payoto/gpt2-finetuned-wikitext2",
		"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 "Payoto/gpt2-finetuned-wikitext2" \
        --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": "Payoto/gpt2-finetuned-wikitext2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Payoto/gpt2-finetuned-wikitext2 with Docker Model Runner:
```
docker model run hf.co/Payoto/gpt2-finetuned-wikitext2
```

gpt2-finetuned-wikitext2 / ipu_config.json

Payoto

Training in progress, step 500

dc7ef14 almost 4 years ago

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	{
	"auto_loss_scaling": false,
	"device_iterations": 2,
	"embedding_serialization_factor": 4,
	"enable_half_partials": true,
	"executable_cache_dir": "/tmp/exe_cache/language_modeling",
	"execute_encoder_on_cpu_for_generation": false,
	"gradient_accumulation_steps": 16,
	"inference_device_iterations": 5,
	"inference_replication_factor": 1,
	"ipus_per_replica": 4,
	"layers_per_ipu": [
	0,
	4,
	4,
	4
	],
	"matmul_proportion": 0.25,
	"optimizer_state_offchip": true,
	"optimum_version": "1.5.1",
	"output_mode": "final",
	"recompute_checkpoint_every_layer": true,
	"replicated_tensor_sharding": false,
	"replication_factor": 1,
	"seed": 42,
	"sharded_execution_for_inference": false,
	"transformers_version": "4.20.1"
	}