Instructions to use yandex/RuLeanALBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yandex/RuLeanALBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yandex/RuLeanALBERT")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("yandex/RuLeanALBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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RuLeanALBERT is a pretrained masked language model for the Russian language using a memory-efficient architecture.
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See its implementation, as well as the pretraining and finetuning code, at [https://github.com/yandex-research/RuLeanALBERT](https://github.com/yandex-research/RuLeanALBERT)
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RuLeanALBERT is a pretrained masked language model for the Russian language using a memory-efficient architecture.
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See its implementation, as well as the pretraining and finetuning code, at [https://github.com/yandex-research/RuLeanALBERT](https://github.com/yandex-research/RuLeanALBERT).
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