Instructions to use icelab/cosmicroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use icelab/cosmicroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="icelab/cosmicroberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("icelab/cosmicroberta") model = AutoModelForMaskedLM.from_pretrained("icelab/cosmicroberta") - Notebooks
- Google Colab
- Kaggle
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This model is a further pre-trained version of RoBERTa for space science on a domain-specific corpus, which includes abstracts from the NTRS library, abstracts from SCOPUS, ECSS requirements, and other sources from this domain.
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The model performs slightly better on a subset (0.6 of total data set) of the CR task presented in our paper.
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| | RoBERTa | CosmiRoBERTa | SpaceRoBERTa |
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This model is a further pre-trained version of RoBERTa for space science on a domain-specific corpus, which includes abstracts from the NTRS library, abstracts from SCOPUS, ECSS requirements, and other sources from this domain.
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The model performs slightly better on a subset (0.6 of total data set) of the CR task presented in our paper [SpaceTransformers: Language Modeling for Space Systems](https://ieeexplore.ieee.org/document/9548078).
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| | RoBERTa | CosmiRoBERTa | SpaceRoBERTa |
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