Instructions to use abletobetable/deberta-ru-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/deberta-ru-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="abletobetable/deberta-ru-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("abletobetable/deberta-ru-qa") model = AutoModelForQuestionAnswering.from_pretrained("abletobetable/deberta-ru-qa") - 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 sha256:75f5caccc3c76c0982f5fa4a6cd34fe8c1cc9125d8f74d14a4c3ad631b6cafaf
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size 1736110072
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