Instructions to use AIDA-UPM/gottbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIDA-UPM/gottbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AIDA-UPM/gottbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AIDA-UPM/gottbert-base") model = AutoModelForMaskedLM.from_pretrained("AIDA-UPM/gottbert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3734755939b884781e88165bfc07847d8bce440984de4baf0e8106382fd4ce85
- Size of remote file:
- 504 MB
- SHA256:
- b5f509cad54f4fb28a068ccdc48c89c91f0521a4dbb1ceb54ebf6c5f1bfe3b81
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