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
File size: 1,553 Bytes
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"rstrip": false,
"normalized": false,
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{
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"content": "[BOS]",
"single_word": false,
"lstrip": false,
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{
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"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]"
}
} |