Instructions to use saattrupdan/electra-small-qa-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saattrupdan/electra-small-qa-da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="saattrupdan/electra-small-qa-da")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saattrupdan/electra-small-qa-da") model = AutoModelForQuestionAnswering.from_pretrained("saattrupdan/electra-small-qa-da", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30ea01f50e94826073f9ec1d308a7773a5d3c474caca661bf682f36e9bf48c45
- Size of remote file:
- 54.8 MB
- SHA256:
- 8862fa127550fd27427c9c3f712844a52123779aae80acab10da092ee3eaed68
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