Instructions to use igorsterner/german-english-code-switching-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igorsterner/german-english-code-switching-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="igorsterner/german-english-code-switching-identification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("igorsterner/german-english-code-switching-identification") model = AutoModelForTokenClassification.from_pretrained("igorsterner/german-english-code-switching-identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# German-English Code-Switching Identification
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The [Tongueswitcher BERT](https://huggingface.co/igorsterner/german-english-code-switching-bert) model finetuned for German-
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## Overview
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- **Initialized language model:** german-english-code-switching-bert
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# German-English Code-Switching Identification
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The [Tongueswitcher BERT](https://huggingface.co/igorsterner/german-english-code-switching-bert) model finetuned for German-English identification. 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:** german-english-code-switching-bert
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