Instructions to use Den4ikAI/ruBert_tiny_qa_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/ruBert_tiny_qa_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Den4ikAI/ruBert_tiny_qa_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/ruBert_tiny_qa_detection") model = AutoModelForSequenceClassification.from_pretrained("Den4ikAI/ruBert_tiny_qa_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94fc114347d5b53283f1e522ab0a429e4d9a990b48ec0d95d2deea9f32245cfc
- Size of remote file:
- 3.32 kB
- SHA256:
- 58105de4fa642055a7aed49fe8523e3f247caf17ed1a81ef95f23ff6d017bd9c
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