Instructions to use YuryCHep/sbert_large_nlu_ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuryCHep/sbert_large_nlu_ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="YuryCHep/sbert_large_nlu_ru")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("YuryCHep/sbert_large_nlu_ru") model = AutoModelForQuestionAnswering.from_pretrained("YuryCHep/sbert_large_nlu_ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/Apr23_18-52-47_720fa49902b2/events.out.tfevents.1682275973.720fa49902b2.240.2
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