Instructions to use missvector/ru-asd-qa-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use missvector/ru-asd-qa-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="missvector/ru-asd-qa-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("missvector/ru-asd-qa-bert") model = AutoModelForQuestionAnswering.from_pretrained("missvector/ru-asd-qa-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05c730c32083c91f7645e15a8dfc924cb2e62a650c7debe951f90aa4c055bef3
- Size of remote file:
- 4.03 kB
- SHA256:
- 4b0f451c20aa3272fcea81f811c17eb8c20ee3d1cd540c70524c2e752b215ebf
路
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