Feature Extraction
Transformers
PyTorch
TensorFlow
Safetensors
Russian
English
bert
pretraining
embeddings
sentence-similarity
Instructions to use cointegrated/LaBSE-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/LaBSE-en-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cointegrated/LaBSE-en-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("cointegrated/LaBSE-en-ru") model = AutoModelForPreTraining.from_pretrained("cointegrated/LaBSE-en-ru") - Inference
- Notebooks
- Google Colab
- Kaggle
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