Instructions to use jruffle/tabpfn_samples_64d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TabPFN
How to use jruffle/tabpfn_samples_64d with TabPFN:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 534 Bytes
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"model_type": "tabpfn",
"mode": "samples",
"dimensions": 64,
"created": "2026-01-13T17:00:37.497806",
"keys": [
"tabpfn_embedding",
"input_scaler",
"umap_reduce",
"umap_final",
"raw_embeddings",
"kmeans",
"pseudo_labels",
"train_indices",
"X_train",
"y_train",
"n_components",
"max_features",
"data_reduced_shape",
"feature_reduction_method",
"reduction_method",
"mode",
"row_ids",
"feature_ids",
"robust_scaler",
"reference_embeddings"
]
} |