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
- Xet hash:
- ef9cbafdf2df9ec5801e61387a364c4d382eea1ba6e8612dc0101ea31a39e043
- Size of remote file:
- 1.71 GB
- SHA256:
- 871be74d693a7584f3c8eb9fd6bbf5c7be671245e08b233df6a0ff035e1c34bf
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