Text Classification
Transformers
Safetensors
saif_decision
feature-extraction
typed-decisions
decision-model
system-one
jev-compatible
tool-use
routing
classification
calibration
custom-code
custom_code
Instructions to use GyrTechnology/saif-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GyrTechnology/saif-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GyrTechnology/saif-4b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GyrTechnology/saif-4b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Match evaluated 131072-token no-truncation inference context
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Add standalone Decision Index released-model engine
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Model card: measured calibration
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Model card: build-from-Dockerfile quick start
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Rewrite model card
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Add CPU-verified decision-only serving kit and container usage
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Add CPU-verified decision-only serving kit and container usage
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Upload decision-only Saif 4B with CPU portability verification
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initial commit
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