Instructions to use jruffle/tabpfn_transcriptome_2d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TabPFN
How to use jruffle/tabpfn_transcriptome_2d 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
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tags:
- transcriptomics
- dimensionality-reduction
- tabpfn
- TRACERx
license: mit
---
# TabPFN Model - transcriptome mode - 2D
Pre-trained TabPFN embedding model with UMAP reduction.
## Details
- **Mode**: transcriptome-centric compression
- **Dimensions**: 2
- **Training data**: TRACERx lung cancer transcriptomics
- **Created**: 2026-01-13T17:02:09.216386
- **Reduction method**: UMAP (non-linear)
## Usage
```python
import joblib
from huggingface_hub import snapshot_download
local_dir = snapshot_download("jruffle/tabpfn_transcriptome_2d")
model = joblib.load(f"{local_dir}/model.joblib")
```
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