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
| license: cc | |
| This model is a Pytorch version of [uklfr/gottbert-base](https://huggingface.co/uklfr/gottbert-base). All credits to their developers. | |