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
File size: 416 Bytes
73bc533 | 1 2 | {"model":"saif-4b","state":{"message":"The delivery arrived on time and works well."},"questions":{"satisfied":{"type":"noul","instructions":"Is the customer satisfied?"},"intent":{"type":"choice","instructions":"Classify the message.","criteria":{"praise":"Positive feedback","complaint":"A problem"}},"sentiment":{"type":"score","instructions":"Rate the sentiment.","criteria":["negative","neutral","positive"]}}}
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