Instructions to use abletobetable/mdeberta-ru-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/mdeberta-ru-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="abletobetable/mdeberta-ru-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("abletobetable/mdeberta-ru-qa") model = AutoModelForQuestionAnswering.from_pretrained("abletobetable/mdeberta-ru-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef81fee8392def44f33e4e21b6cdbcd04e80e4bdd47c9db5edf03a49002e12a8
- Size of remote file:
- 1.11 GB
- SHA256:
- 4fb0bbca1ab02da51b9f04861d650aed2325da501298055fa2fd42d77c26fa15
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