Instructions to use statworx/bert-base-german-cased-finetuned-swiss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use statworx/bert-base-german-cased-finetuned-swiss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="statworx/bert-base-german-cased-finetuned-swiss")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("statworx/bert-base-german-cased-finetuned-swiss") model = AutoModelForMaskedLM.from_pretrained("statworx/bert-base-german-cased-finetuned-swiss", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Bert-base-german-cased-finetuned-swiss
Bert-base-german-cased model fine-tuned on a corpus of German-Swiss.
Model Details
Model Description
Bert-base-german-cased model fine-tuned on a corpus of German-Swiss.
Fine-tuning was done on the Swiss German data of the Leipzig Corpora Collection and SwissCrawl. For testing purposes, the model was evaluated on the Swiss Dialect Classification dataset as down-stream task. It outperformed its parent model (bert-base-german-cased) by approx. 5% accuracy.
- Developed by: Fabian Müller
- Model type: Language model
- Language(s) (NLP): de
- License: apache-2.0
- Parent Model: bert-base-german-cased
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