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
Errors while uploading
3
#8 opened almost 2 years ago
by
katyanaveka
Downloading for DJL Java project in .pt
1
#7 opened almost 2 years ago
by
deminis
Create 1_Pooling/config.json
#4 opened almost 2 years ago
by
ai-forever
Adding `safetensors` variant of this model
1
#3 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
1
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot