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
- Xet hash:
- 7910eb0f4a839285f42b2c2a8e459326d57c07e3f64abc3d0f1387c7c3f3a537
- Size of remote file:
- 712 MB
- SHA256:
- 43277e8a7a698be3e0cb80cca81b4833ffd0bfa80792ad0e4fca3d6a11d0f9e6
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