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RendeiroLab/
MetPredict-cell-reclassifier

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MetPredict-cell-reclassifier

Per-cell MLP classifier. Maps histoplus 768-dim cell features to softmax probabilities over: ['background', 'tumor'].

Exported with torch.export (batch dim: dynamic, feature dim: 768). The exported program wraps MLP + softmax, so the output is probabilities directly — no model class required at load time.

Usage

python

from huggingface_hub import hf_hub_download
import json, torch

path = hf_hub_download("RendeiroLab/MetPredict-cell-reclassifier", "model.pt2")
labels = json.loads(open(hf_hub_download("RendeiroLab/MetPredict-cell-reclassifier", "labels.json")).read())["labels"]

m = torch.export.load(path).module()
probs = m(torch.randn(N, 768))       # (N, 2), softmaxed
pred_idx = probs.argmax(-1)
pred_class = [labels[i] for i in pred_idx.tolist()]

Files

model.pt2 — torch.export program (MLP + softmax)
labels.json — class index → name map, plus in_dim / n_classes / batch
README.md — this file