anon-nlp / sciembed-ctx

huggingface.co
Total runs: 97
24-hour runs: -15
7-day runs: 9
30-day runs: 14
Model's Last Updated: June 08 2026
feature-extraction

Introduction of sciembed-ctx

Model Details of sciembed-ctx

SciEmbed-CTX

Signal A+B on a 7M-pair subsample (3 epochs). Best ablation; the FULL model is this recipe scaled to the full pool.

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-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
75.5 28.3 80.9 82.5 66.8 ± 0.02
Citation

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

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

97
Total runs
-15
24-hour runs
1
3-day runs
9
7-day runs
14
30-day runs

More Information About sciembed-ctx huggingface.co Model

More sciembed-ctx license Visit here:

https://choosealicense.com/licenses/mit

sciembed-ctx huggingface.co

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

sciembed-ctx huggingface.co Url

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

anon-nlp sciembed-ctx online free

sciembed-ctx huggingface.co is an online trial and call api platform, which integrates sciembed-ctx's modeling effects, including api services, and provides a free online trial of sciembed-ctx, you can try sciembed-ctx online for free by clicking the link below.

anon-nlp sciembed-ctx online free url in huggingface.co:

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

sciembed-ctx install

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

sciembed-ctx install url in huggingface.co:

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

Url of sciembed-ctx

sciembed-ctx huggingface.co Url

Provider of sciembed-ctx huggingface.co

anon-nlp
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