Text Classification
Transformers
Safetensors
German
eurobert
fill-mask
populism
political-speech
classification
german
Bundestag
NLP
custom_code
Instructions to use przvl/PopEuroBERT-binary-610m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use przvl/PopEuroBERT-binary-610m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="przvl/PopEuroBERT-binary-610m", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("przvl/PopEuroBERT-binary-610m", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("przvl/PopEuroBERT-binary-610m", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle