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:
- 2a1a28828b1bca49944a93f9f8c746c0f2ade50323db63abfb593a0636a811c8
- Size of remote file:
- 117 MB
- SHA256:
- 7ff2ec0dcf8d3f6100de577735572b793314762306ab1e6ff04bc6de8e381f0d
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