Instructions to use khleeloo/gpt2-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khleeloo/gpt2-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="khleeloo/gpt2-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("khleeloo/gpt2-wikitext2") model = AutoModelForCausalLM.from_pretrained("khleeloo/gpt2-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use khleeloo/gpt2-wikitext2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "khleeloo/gpt2-wikitext2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "khleeloo/gpt2-wikitext2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/khleeloo/gpt2-wikitext2
- SGLang
How to use khleeloo/gpt2-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 "khleeloo/gpt2-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": "khleeloo/gpt2-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 "khleeloo/gpt2-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": "khleeloo/gpt2-wikitext2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use khleeloo/gpt2-wikitext2 with Docker Model Runner:
docker model run hf.co/khleeloo/gpt2-wikitext2
Download training_args.bin from khleeloo/gpt2-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/khleeloo/gpt2-wikitext2/resolve/main/training_args.bin
- Command line
-
hf download hf://khleeloo/gpt2-wikitext2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/khleeloo/gpt2-wikitext2/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 4d4637a60d912610ba49e5fdfdc3438efc4875aa5ef23ab3920af57183af7de4
- Size of remote file:
- 4.09 kB
- SHA256:
- e22a51bde241a465e85dc721b3c794e2641502643a73f3ff7ba452b1caae7bdc
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