Instructions to use deepset/gelectra-base-germanquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gelectra-base-germanquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/gelectra-base-germanquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/gelectra-base-germanquad") model = AutoModelForQuestionAnswering.from_pretrained("deepset/gelectra-base-germanquad", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8469e94ed3fb27b5456a573bfbf3162806769b5f2789c68a7e73761e5fc48d96
- Size of remote file:
- 438 MB
- SHA256:
- e56f0b261de9785fd79b980564772606e0313c799147a3cdd776f92187ffa36d
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