Instructions to use ai4stem-uga/G-SciEdBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4stem-uga/G-SciEdBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ai4stem-uga/G-SciEdBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ai4stem-uga/G-SciEdBERT") model = AutoModelForMaskedLM.from_pretrained("ai4stem-uga/G-SciEdBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@InProceedings{Latif_2024_G-SciEdBERT,
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author = {Latif, Ehsan and Lee, Gyeong-Geon and Neuman, Knut and Kastorff, Tamara and Zhai, Xiaoming},
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title = {G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German},
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journal = {arXiv preprint arXiv:
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year = {2024}
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pages = {1-9}
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}
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@InProceedings{Latif_2024_G-SciEdBERT,
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author = {Latif, Ehsan and Lee, Gyeong-Geon and Neuman, Knut and Kastorff, Tamara and Zhai, Xiaoming},
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title = {G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German},
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journal = {arXiv preprint arXiv:2402.06584},
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year = {2024}
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pages = {1-9}
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}
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