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
Download MANIFEST.json from GyrTechnology/saif-4b: direct link, hf CLI and curl.
- Browser
- Download file 6.09 kB
-
https://huggingface.co/GyrTechnology/saif-4b/resolve/main/MANIFEST.json
- Command line
-
hf download hf://GyrTechnology/saif-4b/MANIFEST.json
-
curl -L -o MANIFEST.json https://huggingface.co/GyrTechnology/saif-4b/resolve/main/MANIFEST.json
6.09 kB
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