Instructions to use YuryCHep/sbert_large_nlu_ru_ktr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuryCHep/sbert_large_nlu_ru_ktr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="YuryCHep/sbert_large_nlu_ru_ktr")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("YuryCHep/sbert_large_nlu_ru_ktr") model = AutoModelForQuestionAnswering.from_pretrained("YuryCHep/sbert_large_nlu_ru_ktr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot