Text Classification
Scikit-learn
Joblib
ai-systems
capabilities
reasoning
planning
memory
agents
world-models
verification
reliability
Instructions to use ai-systems/capability-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ai-systems/capability-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ai-systems/capability-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
| from joblib import load | |
| classifier = load("capability-classifier.joblib") | |
| examples = [ | |
| "Break a complex objective into subtasks and replan after failure", | |
| "Use a browser and API to complete the task", | |
| "Predict how the environment will change before acting" | |
| ] | |
| for text in examples: | |
| label = classifier.predict([text])[0] | |
| confidence = classifier.predict_proba([text])[0].max() | |
| print(f"{text}\n -> {label} ({confidence:.2f})") | |