Instructions to use Mathnub/rubert-tiny-sberquad-6ep-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathnub/rubert-tiny-sberquad-6ep-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Mathnub/rubert-tiny-sberquad-6ep-1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Mathnub/rubert-tiny-sberquad-6ep-1") model = AutoModelForQuestionAnswering.from_pretrained("Mathnub/rubert-tiny-sberquad-6ep-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 sha256:3ba35ed47bab1c935d8078b0d3bb3688e453aee5bbb9647e17e9ef874d62bd3d
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size 46759000
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