Instructions to use Den4ikAI/rubert-large-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/rubert-large-squad with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Den4ikAI/rubert-large-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Den4ikAI/rubert-large-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: mit
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---
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-
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from transformers import pipeline
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-
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qa_pipeline = pipeline(
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"question-answering",
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model="Den4ikAI/rubert-large-squad",
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tokenizer="Den4ikAI/rubert-large-squad"
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)
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license: mit
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---
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```python
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from transformers import pipeline
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qa_pipeline = pipeline(
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"question-answering",
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model="Den4ikAI/rubert-large-squad",
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tokenizer="Den4ikAI/rubert-large-squad"
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)
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predictions = qa_pipeline({
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'context': "Пушкин родился 6 июля 1799 года",
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'question': "Когда родился Пушкин?"
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})
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print(predictions)
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# output:
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#{'score': 0.9613797664642334, 'start': 15, 'end': 31, 'answer': '6 июля 1799 года'}
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```
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