Text Classification
Scikit-learn
Joblib
ai-systems
agents
agent-tasks
routing
automation
tool-use
multi-agent
Instructions to use ai-systems/agent-task-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ai-systems/agent-task-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ai-systems/agent-task-classifier", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
File size: 436 Bytes
53aeebd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | from joblib import load
classifier = load("agent-task-classifier.joblib")
examples = [
"Search the web for relevant sources and summarize them",
"Fix a failing test in a Python repository",
"Require human approval before sending the message"
]
for text in examples:
label = classifier.predict([text])[0]
confidence = classifier.predict_proba([text])[0].max()
print(f"{text}\n -> {label} ({confidence:.2f})")
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