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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ai-forever/sbert_large_nlu_ru: direct link, hf CLI and curl.
- Browser
- Download file 3.71 MB
-
https://huggingface.co/ai-forever/sbert_large_nlu_ru/resolve/main/tokenizer.json
- Command line
-
hf download hf://ai-forever/sbert_large_nlu_ru/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ai-forever/sbert_large_nlu_ru/resolve/main/tokenizer.json
3.71 MB
File too large to display, you can check the raw version instead.