Instructions to use scherrmann/GermanFinBert_SC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scherrmann/GermanFinBert_SC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="scherrmann/GermanFinBert_SC")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("scherrmann/GermanFinBert_SC") model = AutoModelForMaskedLM.from_pretrained("scherrmann/GermanFinBert_SC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce49fe9c9cb357c39f437eb0be14ac0e661720357bc8969013cdcb8a360ba1a1
- Size of remote file:
- 437 MB
- SHA256:
- 7a465f4ab451e32cebb199c070737af060fed0cad633f5d0cd63368b46ccad87
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