Instructions to use bclavie/edubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bclavie/edubert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bclavie/edubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This is the EduBERT model used in the [EduBERT: Pretrained Deep Language Models for Learning Analytics](https://arxiv.org/abs/1912.00690) from LAK20. It is a fine-tuned version of BERT-base.
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## Model Description
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This is the EduBERT model used in the [EduBERT: Pretrained Deep Language Models for Learning Analytics](https://arxiv.org/abs/1912.00690) from LAK20. It is a fine-tuned version of BERT-base on educational data.
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## Model Description
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