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:
- 92416770f28ddf4a43b3a481586a4025759036c0d09d76e70245fb94df46cdbf
- Size of remote file:
- 3.58 kB
- SHA256:
- 432a342220da132625d34559265d8bd745964eae2df3eb446c52efb899289609
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