Feature Extraction
Transformers
PyTorch
Safetensors
Russian
bert
PyTorch
Transformers
text-embeddings-inference
Instructions to use ai-forever/sbert_large_nlu_ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/sbert_large_nlu_ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ai-forever/sbert_large_nlu_ru")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ai-forever/sbert_large_nlu_ru") model = AutoModel.from_pretrained("ai-forever/sbert_large_nlu_ru") - Inference
- Notebooks
- Google Colab
- Kaggle
sberbank-ai commited on
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# Authors
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+ [SberDevices](https://sberdevices.ru/) Team.
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+ Aleksandr Abramov: [Github](https://github.com/Ab1992ao), [Kaggle Competitions Master](https://www.kaggle.com/andrilko)
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# Authors
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+ [SberDevices](https://sberdevices.ru/) Team.
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+ Denis Antykhov: [Github](https://github.com/gaphex);
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+ Aleksandr Abramov: [Github](https://github.com/Ab1992ao), [Kaggle Competitions Master](https://www.kaggle.com/andrilko)
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