Text Generation
Transformers
Safetensors
trustworthy-ml
model-verification
model-substitution
research-fixture
gpt2
Instructions to use NagaYu/assay-tiny-pair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NagaYu/assay-tiny-pair with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NagaYu/assay-tiny-pair")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NagaYu/assay-tiny-pair", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use NagaYu/assay-tiny-pair with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NagaYu/assay-tiny-pair" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NagaYu/assay-tiny-pair", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NagaYu/assay-tiny-pair
- SGLang
How to use NagaYu/assay-tiny-pair 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 "NagaYu/assay-tiny-pair" \ --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": "NagaYu/assay-tiny-pair", "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 "NagaYu/assay-tiny-pair" \ --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": "NagaYu/assay-tiny-pair", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NagaYu/assay-tiny-pair with Docker Model Runner:
docker model run hf.co/NagaYu/assay-tiny-pair
File size: 869 Bytes
23f4eab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | {
"sketch": {
"seed": 20260718,
"layers": [
3,
6,
8,
11
],
"n_positions": 6,
"sketch_dim": 32,
"rank_top_m": 8
},
"calibration": {
"mu": {
"3": -7.309343497798924,
"6": -5.587953915026016,
"8": -5.450299438360374,
"11": -5.6453210104866685
},
"sigma": {
"3": 0.212757760417348,
"6": 0.1316980161516204,
"8": 0.0888338944598564,
"11": 0.11255746540264383
},
"n_samples": 48,
"gen_mismatch_rate": 0.01
},
"verifier": {
"deep_check_rate": 0.25,
"alpha": 0.01
},
"generation": {
"gen_len": 12,
"decoding": "greedy",
"jitter_sigma_rel": 0.0003
},
"model_m": "gpt2",
"hmac_demo_key": "assay-demo-key-0123456789abcdef!",
"signature_note": "HMAC-SHA256 over Receipt.canonical_bytes(); simulates a TEE attestation"
} |