Instructions to use aajrami/bert-rand-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aajrami/bert-rand-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aajrami/bert-rand-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aajrami/bert-rand-base") model = AutoModel.from_pretrained("aajrami/bert-rand-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Citation
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If you use this model, please cite the following paper:
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@article{alajrami2022does,
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title={How does the pre-training objective affect what large language models learn about linguistic properties?},
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author={Alajrami, Ahmed and Aletras, Nikolaos},
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journal={arXiv preprint arXiv:2203.10415},
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year={2022}
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}
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---
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## Citation
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If you use this model, please cite the following paper:
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```
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@article{alajrami2022does,
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title={How does the pre-training objective affect what large language models learn about linguistic properties?},
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author={Alajrami, Ahmed and Aletras, Nikolaos},
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journal={arXiv preprint arXiv:2203.10415},
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year={2022}
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}
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```
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