Text Classification
Transformers
qwen3_5_text
typed-decisions
decision-model
system-one
jev-compatible
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GyrTechnology/saif-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 520 Bytes
cc61c41 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"checkpoint": "/home/sultan/saif/checkpoints/d1/continuous/saif4-core/cooldown-r0/final",
"weights_sha256": "b5a6cb723ff7b0d5f5d8bc39c8dcfbecb7726fd1a9bb6124bf81ed769841bd10",
"temperatures": "raw1.0 (refit recorded, not applied)",
"parity": {
"records": 30,
"max_delta": 0.0,
"mean_delta": 0.0,
"argmax_agreement": 1.0,
"thresholds": "v3 export: max<=0.02, mean<=0.002, all argmax agree"
},
"serving_code_from": "/home/sultan/saif/runs/d1/perfect/saif-v3-0p8b-final-di-fast/serving"
}
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