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:
- d2893c63316c93adb033bca3f17d26c41d236ef91391b5d613082f05c068bb35
- Size of remote file:
- 1.11 GB
- SHA256:
- 338978284be87b845d173157a64c28496a4fe0647dd9ddfeff8c3e0223597c54
路
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