Feature Extraction
Transformers
PyTorch
TensorFlow
Russian
bert
sentence-similarity
text-embeddings-inference
Instructions to use promobot/labse-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use promobot/labse-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="promobot/labse-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("promobot/labse-ru") model = AutoModel.from_pretrained("promobot/labse-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from promobot/labse-ru: direct link, hf CLI and curl.
- Browser
- Download file 762 kB
-
https://huggingface.co/promobot/labse-ru/resolve/main/tokenizer.json
- Command line
-
hf download hf://promobot/labse-ru/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/promobot/labse-ru/resolve/main/tokenizer.json
762 kB
File too large to display, you can check the raw version instead.