Instructions to use NM-development/LaBSE-en-ru-ce-prototype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NM-development/LaBSE-en-ru-ce-prototype with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("NM-development/LaBSE-en-ru-ce-prototype") model = AutoModelForPreTraining.from_pretrained("NM-development/LaBSE-en-ru-ce-prototype", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Vlad Grigorian commited on
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README.md
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- code
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---
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The model uses only sign **ӏ** for explosive consonants (small cyrillic palochka letter)!
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- accuracy
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base_model:
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- cointegrated/LaBSE-en-ru
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The model uses only sign **ӏ** for explosive consonants (small cyrillic palochka letter)!
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