Instructions to use scherrmann/GermanFinBert_FP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scherrmann/GermanFinBert_FP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="scherrmann/GermanFinBert_FP")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("scherrmann/GermanFinBert_FP") model = AutoModelForMaskedLM.from_pretrained("scherrmann/GermanFinBert_FP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90f421617e995f54a4949414d97610ca19a9c1fc54cfdae528e509b967c13968
- Size of remote file:
- 440 MB
- SHA256:
- ea3ab5f7940fd27cb3ee8949d75c8443f99cffa9db7330546442ee1b81815081
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