Instructions to use igorsterner/german-english-code-switching-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igorsterner/german-english-code-switching-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="igorsterner/german-english-code-switching-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("igorsterner/german-english-code-switching-bert") model = AutoModelForMaskedLM.from_pretrained("igorsterner/german-english-code-switching-bert") - Notebooks
- Google Colab
- Kaggle
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# German-English Code-Switching BERT
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A BERT-based model trained with masked language modelling on a large corpus of German--English code-switching. It was introduced in [this paper](). This model is case sensitive.
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## Overview
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- **Initialized language model:** bert-base-multilingual-cased
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- **Training data:** The TongueSwitcher Corpus
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- **Infrastructure**: 4x Nvidia A100 GPUs
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- **Published**: 16 October 2023
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# German-English Code-Switching BERT
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A BERT-based model trained with masked language modelling on a large corpus of German--English code-switching. It was introduced in [this paper](https://openreview.net/forum?id=heYrTpKRny). This model is case sensitive.
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## Overview
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- **Initialized language model:** bert-base-multilingual-cased
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- **Training data:** [The TongueSwitcher Corpus](https://zenodo.org/records/10011601)
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- **Infrastructure**: 4x Nvidia A100 GPUs
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- **Published**: 16 October 2023
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