Instructions to use Mathnub/rubert-large-sberquad-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathnub/rubert-large-sberquad-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Mathnub/rubert-large-sberquad-1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Mathnub/rubert-large-sberquad-1") model = AutoModelForQuestionAnswering.from_pretrained("Mathnub/rubert-large-sberquad-1") - 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 sha256:9b34c12d1613d1c36cf32900dbb3fedc00b1d69802e9fcbc7425ddfd07cfb64e
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size 1703495728
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