Instructions to use imvladikon/de_electra_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imvladikon/de_electra_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="imvladikon/de_electra_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("imvladikon/de_electra_squad") model = AutoModelForQuestionAnswering.from_pretrained("imvladikon/de_electra_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5cfe864ed85793be72fcf378b6f6afe61ba69c85eedd41030c93e752585cbc1
- Size of remote file:
- 437 MB
- SHA256:
- 1b729703f91319239fa2505a9db67b17a08f8544c35d450bf28af26078d5edbd
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