Instructions to use Stacy123/rubert_tiny2_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stacy123/rubert_tiny2_qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Stacy123/rubert_tiny2_qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Stacy123/rubert_tiny2_qa") model = AutoModelForQuestionAnswering.from_pretrained("Stacy123/rubert_tiny2_qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4779535496cb924fa9c4ca4572df2f2fa674b84042e1e8be086d68f80bc013c1
- Size of remote file:
- 3.58 kB
- SHA256:
- e6b25837b82683ae9069e176a6288de193961533cc189f4334933725d3d7f0a3
路
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