Text Generation
Transformers
Safetensors
English
gpt2
testing
random-initialization
text-generation-inference
Instructions to use ruhook/test-ruhook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruhook/test-ruhook with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ruhook/test-ruhook")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ruhook/test-ruhook") model = AutoModelForCausalLM.from_pretrained("ruhook/test-ruhook", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ruhook/test-ruhook with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ruhook/test-ruhook" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ruhook/test-ruhook", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ruhook/test-ruhook
- SGLang
How to use ruhook/test-ruhook 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 "ruhook/test-ruhook" \ --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": "ruhook/test-ruhook", "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 "ruhook/test-ruhook" \ --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": "ruhook/test-ruhook", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ruhook/test-ruhook with Docker Model Runner:
docker model run hf.co/ruhook/test-ruhook
| { | |
| "version": "1.0", | |
| "truncation": null, | |
| "padding": null, | |
| "added_tokens": [ | |
| { | |
| "id": 0, | |
| "content": "[PAD]", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| }, | |
| { | |
| "id": 1, | |
| "content": "[UNK]", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| }, | |
| { | |
| "id": 2, | |
| "content": "[BOS]", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| }, | |
| { | |
| "id": 3, | |
| "content": "[EOS]", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| } | |
| ], | |
| "normalizer": null, | |
| "pre_tokenizer": { | |
| "type": "Whitespace" | |
| }, | |
| "post_processor": null, | |
| "decoder": null, | |
| "model": { | |
| "type": "WordLevel", | |
| "vocab": { | |
| "[PAD]": 0, | |
| "[UNK]": 1, | |
| "[BOS]": 2, | |
| "[EOS]": 3, | |
| "hello": 4, | |
| "world": 5, | |
| "this": 6, | |
| "is": 7, | |
| "a": 8, | |
| "tiny": 9, | |
| "test": 10, | |
| "model": 11, | |
| "the": 12, | |
| "cat": 13, | |
| "sat": 14, | |
| "on": 15, | |
| "mat": 16, | |
| ".": 17, | |
| "I": 18, | |
| "you": 19, | |
| "we": 20, | |
| "like": 21, | |
| "code": 22, | |
| "and": 23, | |
| "data": 24, | |
| "good": 25, | |
| "morning": 26, | |
| "one": 27, | |
| "two": 28, | |
| "three": 29, | |
| "yes": 30, | |
| "no": 31 | |
| }, | |
| "unk_token": "[UNK]" | |
| } | |
| } |