Instructions to use Mathnub/rubert-DPbase-sberquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathnub/rubert-DPbase-sberquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Mathnub/rubert-DPbase-sberquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Mathnub/rubert-DPbase-sberquad") model = AutoModelForQuestionAnswering.from_pretrained("Mathnub/rubert-DPbase-sberquad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc9a296049f2cbc31a899d278d070d52a48ab048e03aeb4743ea9c3671e06033
- Size of remote file:
- 3.58 kB
- SHA256:
- 0bfe0754b4463f3d6c345c39ebf48d9a04a7d16226dbb53e24ed99f8be8d1942
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