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
File size: 575 Bytes
c7fe0d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"model_type": "sklearn-text-classifier",
"name": "capability-classifier",
"owner": "ai-systems",
"task": "text-classification",
"labels": [
"adaptation",
"agents",
"coding",
"memory",
"multimodal",
"planning",
"reasoning",
"reliability",
"science",
"tool-use",
"verification",
"world-modeling"
],
"training_examples": 48,
"intended_use": "Classify short AI task descriptions into capability categories.",
"limitations": "Small curated reference model; not intended for production-critical classification."
} |