Instructions to use GottBERT/GottBERT_base_last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GottBERT/GottBERT_base_last with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GottBERT/GottBERT_base_last")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GottBERT/GottBERT_base_last") model = AutoModelForMaskedLM.from_pretrained("GottBERT/GottBERT_base_last", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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Download README.md from GottBERT/GottBERT_base_last: direct link, hf CLI and curl.
- Browser
- Download file 263 Bytes
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https://huggingface.co/GottBERT/GottBERT_base_last/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://GottBERT/GottBERT_base_last@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/GottBERT/GottBERT_base_last/resolve/refs%2Fpr%2F1/README.md
263 Bytes
Gottbert-base
BERT model trained solely on the German portion of the OSCAR data set.
Paper: GottBERT: a pure German Language Model
Authors: Raphael Scheible, Fabian Thomczyk, Patric Tippmann, Victor Jaravine, Martin Boeker