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 # 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="radlab/polish-qa-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("radlab/polish-qa-v2") model = AutoModelForQuestionAnswering.from_pretrained("radlab/polish-qa-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse filesAdded link to blog article
README.md
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'answer': ' trzy trzycylindrowe maszyny parowe potr贸jnego rozpr臋偶ania,'
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```
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'answer': ' trzy trzycylindrowe maszyny parowe potr贸jnego rozpr臋偶ania,'
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}
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```
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Link to the article on our [blog](https://radlab.dev/2024/04/15/ekstrakcyjne-qa-nasz-model-polish-qa-v2/) in polish.
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