ALIAS ME
This is the ALIAS model labeled ME in the manuscript. It is a SentenceTransformer encoder for embedding cell descriptions and biomedical text into a shared space. It is intended for research use.
| Field | Value |
|---|---|
| Manuscript label | ME |
| Internal model ID | MM_HIAI_Tcells_S2_N4_200k_lr5e5 |
SHA-256 of model.safetensors |
c34df766d2cc35c6f086e95b66ff9f6a648dc0688358f1d42b1ec9edc45a32a8 |
| Base model | NeuML/pubmedbert-base-embeddings |
| Code and dataset provenance | ALIAS manuscript reproducibility branch |
License and provenance
The ALIAS model release is MIT licensed (see LICENSE.txt). It is fine-tuned from NeuML/pubmedbert-base-embeddings, which is Apache 2.0 licensed; its license text is included as UPSTREAM_APACHE_2_0_LICENSE.txt. The model weights were modified by ALIAS training from the upstream base model.
Use
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("mariakrissmer/ALIAS-ME")
embeddings = model.encode(["CD8 T cell", "cytotoxic T lymphocyte"])
This model is for exploratory research. Its training data and intended comparisons are documented in the linked repository. It has not been validated for clinical use.
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