Instructions to use jruffle/tabpfn_transcriptome_16d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TabPFN
How to use jruffle/tabpfn_transcriptome_16d 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
| { | |
| "model_type": "tabpfn", | |
| "mode": "transcriptome", | |
| "dimensions": 16, | |
| "created": "2026-01-13T17:08:10.219520", | |
| "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" | |
| ] | |
| } |