| # TabPFN Transcriptome 256D Model | |
| Pre-computed TabPFN embeddings for transcriptomic data. | |
| ## Contents | |
| - `model.joblib`: Model bundle with reference embeddings | |
| ## Usage | |
| ```python | |
| import joblib | |
| from huggingface_hub import hf_hub_download | |
| # Download model | |
| model_path = hf_hub_download(repo_id="jruffle/tabpfn_transcriptome_256d", filename="model.joblib") | |
| model = joblib.load(model_path) | |
| # Access embeddings | |
| embeddings = model['reference_embeddings'] | |
| ``` | |
| ## Details | |
| - Mode: transcriptome | |
| - Dimensions: 256 | |
| - Samples: 2405 | |
| - Complete coverage: All samples have TabPFN embeddings | |