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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:605d71bfb2661b103d2098da4deb799df3e63ae8156d9b7bab74227f40be65f3
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size 1703495728
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