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:
- d27097abf7eb5ebe4a389ab677739a61b10e51afb1585bbfa3eec7df1513de51
- Size of remote file:
- 1.71 GB
- SHA256:
- 2428317255444923c1d4d4d60cbfdf69f7fa0c70eb097979f2eac626973acf8f
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