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:
- 344ff0c84c273d92b85f16b2b72167071e22a1f318c5d0852ca3193abf6ac69f
- Size of remote file:
- 437 MB
- SHA256:
- 1a610126d05ba15fbe67d1994f473a409f58261f880dcdb7844d4206d7e72d09
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