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
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README.md
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@@ -11,7 +11,7 @@ This version of German FinBERT starts with the [gbert-base](https://huggingface.
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## Overview
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**Author** Moritz Scherrmann
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**Paper:** [here](https://arxiv.org/pdf/2311.08793.pdf)
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**Language:** German
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**Specialization:** Financial textual data
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**Original Model:** [gbert-base (deepset)](https://huggingface.co/deepset/gbert-base)
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## Overview
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**Author** Moritz Scherrmann
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**Paper:** [here](https://arxiv.org/pdf/2311.08793.pdf)
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**Architecture:** BERT base
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**Language:** German
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**Specialization:** Financial textual data
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**Original Model:** [gbert-base (deepset)](https://huggingface.co/deepset/gbert-base)
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