Text Classification
Transformers
Safetensors
truetype_system_one
feature-extraction
custom_code
gemma4
typed-decisions
Instructions to use stephenlb/system-one-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stephenlb/system-one-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="stephenlb/system-one-model", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stephenlb/system-one-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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by everyone who needs them most.
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# Github Source System One Model
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your agents available for public use,
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Blocks.ai makes your agents securely discoverable and callable
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by everyone who needs them most.
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[We Rebuilt Jev's API on an Open Model and Used It to Play Doom](https://blocks.ai/blog/jev-open-model-doom)
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TypeSafe AI's Jev turns unstructured input into typed decisions and probabilities.
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We rebuilt the API with an open model, reached 113ms median latency on an M4 Mac, and used it to play Doom.
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# Github Source System One Model
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