Feature Extraction
Transformers
Safetensors
Russian
bert
PyTorch
Transformers
text-embeddings-inference
Instructions to use ai-forever/sbert_large_mt_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_mt_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_mt_nlu_ru")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ai-forever/sbert_large_mt_nlu_ru") model = AutoModel.from_pretrained("ai-forever/sbert_large_mt_nlu_ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af57ee04e1076308e68db698b0edc27cd2698fd246f188e84e843fc08d66aaba
- Size of remote file:
- 1.71 GB
- SHA256:
- 874490e6b754858ac826e7d3047a9dfc69fd3334d5949fb2631260f9599dfe30
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