anon-nlp / sciembed-ctx-2048

huggingface.co
Total runs: 100
24-hour runs: -13
7-day runs: 7
30-day runs: -13
Model's Last Updated: June 08 2026
feature-extraction

Introduction of sciembed-ctx-2048

Model Details of sciembed-ctx-2048

SciEmbed-CTX-2048

Intermediate long-context variant (max_seq_length=2048). Point on the 512→2K→8K context-length scan.

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-2048")
emb = model.encode(["citation-context supervision for scientific embeddings"],
                   normalize_embeddings=True)
  • Context length: 2048 tokens
  • Pooling: mean · Output dim: 768 (Matryoshka-truncatable to 512/256/128)
  • License: MIT
Citation

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

Runs of anon-nlp sciembed-ctx-2048 on huggingface.co

100
Total runs
-13
24-hour runs
3
3-day runs
7
7-day runs
-13
30-day runs

More Information About sciembed-ctx-2048 huggingface.co Model

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https://choosealicense.com/licenses/mit

sciembed-ctx-2048 huggingface.co

sciembed-ctx-2048 huggingface.co is an AI model on huggingface.co that provides sciembed-ctx-2048's model effect (), which can be used instantly with this anon-nlp sciembed-ctx-2048 model. huggingface.co supports a free trial of the sciembed-ctx-2048 model, and also provides paid use of the sciembed-ctx-2048. Support call sciembed-ctx-2048 model through api, including Node.js, Python, http.

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https://huggingface.co/anon-nlp/sciembed-ctx-2048

sciembed-ctx-2048 install

sciembed-ctx-2048 is an open source model from GitHub that offers a free installation service, and any user can find sciembed-ctx-2048 on GitHub to install. At the same time, huggingface.co provides the effect of sciembed-ctx-2048 install, users can directly use sciembed-ctx-2048 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

sciembed-ctx-2048 install url in huggingface.co:

https://huggingface.co/anon-nlp/sciembed-ctx-2048

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