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
Download __pycache__/singlepass.cpython-312.pyc from GyrTechnology/saif-4b: direct link, hf CLI and curl.
- Browser
- Download file 3.48 kB
-
https://huggingface.co/GyrTechnology/saif-4b/resolve/main/__pycache__/singlepass.cpython-312.pyc
- Command line
-
hf download hf://GyrTechnology/saif-4b/__pycache__/singlepass.cpython-312.pyc
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curl -L -o singlepass.cpython-312.pyc https://huggingface.co/GyrTechnology/saif-4b/resolve/main/__pycache__/singlepass.cpython-312.pyc
3.48 kB
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