How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="icelab/spacebert_CR")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("icelab/spacebert_CR")
model = AutoModelForTokenClassification.from_pretrained("icelab/spacebert_CR")
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spacebert_CR

Model desciption

This is a fine-tuned SpaceSciBERT model, for a Concept Recognition task, from the SpaceTransformers model family presented in SpaceTransformers: Language Modeling for Space Systems. The original Git repo is strath-ace/smart-nlp. The fine-tuning dataset is available for download and consists of 874 unique manual annotated ECSS requirements.

The notebookfor fine-tuning can be accessed in Google Colab: Open In Colab

BibTeX entry and citation info

@ARTICLE{ 9548078,
author={Berquand, Audrey and Darm, Paul and Riccardi, Annalisa},
journal={IEEE Access},
title={SpaceTransformers: Language Modeling for Space Systems},
year={2021},
volume={9},
number={},
pages={133111-133122},
doi={10.1109/ACCESS.2021.3115659} }
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