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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72f6171e67c8c857e9ab2cf4b0b6ee30bed691c2a59af48d7bb412d8040157a5
- Size of remote file:
- 4.03 kB
- SHA256:
- 973bcaae82348f96bdcaa6e231e30e8448cebd8d5f665f6fd28a98c2cc894733
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