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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "__version__": { | |
| "sentence_transformers": "3.0.0", | |
| "transformers": "4.41.2", | |
| "pytorch": "2.3.0" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": null | |
| } |