Instructions to use scherrmann/GermanFinBert_FP_QuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scherrmann/GermanFinBert_FP_QuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="scherrmann/GermanFinBert_FP_QuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("scherrmann/GermanFinBert_FP_QuAD") model = AutoModelForQuestionAnswering.from_pretrained("scherrmann/GermanFinBert_FP_QuAD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ab9fbb025cafbc8e9255d40cfcc78f92d405431ecac1023614a11eea5a7d072
- Size of remote file:
- 3.71 kB
- SHA256:
- d43d2bee3e5eb7a24406be8bdf69f1cf743b314cf207189e4f882d4e633f1c15
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