Instructions to use radlab/polish-qa-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radlab/polish-qa-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="radlab/polish-qa-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("radlab/polish-qa-v2") model = AutoModelForQuestionAnswering.from_pretrained("radlab/polish-qa-v2") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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---
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# Model Card
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Extractive Question-Answer model for polish. Extractive means, that the most relevant
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language:
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- pl
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library_name: transformers
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base_model:
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- sdadas/polish-roberta-large-v2
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---
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# Model Card
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Extractive Question-Answer model for polish. Extractive means, that the most relevant
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