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
Downloading for DJL Java project in .pt
#7
by deminis - opened
Good afternoon!
This is my first time trying to set up a Java project using similar models.
Can you tell me how to download this model in the .pt extension?
As far as I understand, DJL in spring boot java application requires models in this extension.
Hello, Igor! We have added binary version of model, you have to follow this guide to convert model to TorchScript format.