anon-nlp / sciembed-nodapt-ctx

huggingface.co
Total runs: 94
24-hour runs: 0
7-day runs: 3
30-day runs: 6
Model's Last Updated: June 08 2026
feature-extraction

Introduction of sciembed-nodapt-ctx

Model Details of sciembed-nodapt-ctx

SciEmbed-NoDAPT-CTX

The CTX recipe with Stage 1 (domain-adaptive MLM) skipped — contrastive straight off ModernBERT-base. Shows DAPT adds only ~0.1 once Signals A+B are present.

A 149M-parameter ModernBERT-base scientific document embedder trained with citation-context sentences as the primary contrastive signal. Part of the SciEmbed release (paper under double-blind review; author info omitted).

Usage
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("anon-nlp/sciembed-nodapt-ctx")
emb = model.encode(["citation-context supervision for scientific embeddings"],
                   normalize_embeddings=True)
  • Context length: 512 tokens
  • Pooling: mean · Output dim: 768 (Matryoshka-truncatable to 512/256/128)
  • License: MIT
SciRepEval (4-category macro)
Classif. Regr. Prox. Search Overall
75.3 28.2 80.8 82.6 66.7 ± 0.07
Citation

See the repository README. Paper: SciEmbed: Citation-Context Supervision for Scientific Document Embeddings (under review).

Runs of anon-nlp sciembed-nodapt-ctx on huggingface.co

94
Total runs
0
24-hour runs
1
3-day runs
3
7-day runs
6
30-day runs

More Information About sciembed-nodapt-ctx huggingface.co Model

More sciembed-nodapt-ctx license Visit here:

https://choosealicense.com/licenses/mit

sciembed-nodapt-ctx huggingface.co

sciembed-nodapt-ctx huggingface.co is an AI model on huggingface.co that provides sciembed-nodapt-ctx's model effect (), which can be used instantly with this anon-nlp sciembed-nodapt-ctx model. huggingface.co supports a free trial of the sciembed-nodapt-ctx model, and also provides paid use of the sciembed-nodapt-ctx. Support call sciembed-nodapt-ctx model through api, including Node.js, Python, http.

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sciembed-nodapt-ctx install

sciembed-nodapt-ctx is an open source model from GitHub that offers a free installation service, and any user can find sciembed-nodapt-ctx on GitHub to install. At the same time, huggingface.co provides the effect of sciembed-nodapt-ctx install, users can directly use sciembed-nodapt-ctx installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

sciembed-nodapt-ctx install url in huggingface.co:

https://huggingface.co/anon-nlp/sciembed-nodapt-ctx

Url of sciembed-nodapt-ctx

sciembed-nodapt-ctx huggingface.co Url

Provider of sciembed-nodapt-ctx huggingface.co

anon-nlp
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