Text Generation
Transformers
ONNX
PyTorch
English
symbolic-decoder
aletheia
philosophical-agi
gnai-creator
Instructions to use gnai-creator/noesis-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gnai-creator/noesis-decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="gnai-creator/noesis-decoder")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gnai-creator/noesis-decoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use gnai-creator/noesis-decoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "gnai-creator/noesis-decoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "gnai-creator/noesis-decoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/gnai-creator/noesis-decoder
- SGLang
How to use gnai-creator/noesis-decoder 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 "gnai-creator/noesis-decoder" \ --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": "gnai-creator/noesis-decoder", "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 "gnai-creator/noesis-decoder" \ --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": "gnai-creator/noesis-decoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use gnai-creator/noesis-decoder with Docker Model Runner:
docker model run hf.co/gnai-creator/noesis-decoder
Update README.md
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README.md
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@@ -36,7 +36,7 @@ Unlike conventional text generators, Noesis translates **symbolic embeddings (ψ
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* **Framework:** PyTorch → ONNX Runtime
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* **Files:**
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* `
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* `noesis.pt` – PyTorch checkpoint (training artifact)
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* `inference.py` – Custom ONNX handler
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* **Input:** float32 symbolic vector, shape `[1, D]`
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# Download ONNX model
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onnx_path = hf_hub_download(
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repo_id="gnai-creator/noesis-decoder",
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filename="
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repo_type="model"
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)
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* **Framework:** PyTorch → ONNX Runtime
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* **Files:**
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* `model.onnx` – Inference model (optimized)
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* `noesis.pt` – PyTorch checkpoint (training artifact)
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* `inference.py` – Custom ONNX handler
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* **Input:** float32 symbolic vector, shape `[1, D]`
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# Download ONNX model
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onnx_path = hf_hub_download(
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repo_id="gnai-creator/noesis-decoder",
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filename="model.onnx",
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repo_type="model"
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)
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