Instructions to use cl-trier/gbert-base_sosec-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cl-trier/gbert-base_sosec-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cl-trier/gbert-base_sosec-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cl-trier/gbert-base_sosec-sentiment") model = AutoModelForSequenceClassification.from_pretrained("cl-trier/gbert-base_sosec-sentiment") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Department of Computational Linguistics - University of Trier
Upload BertForSequenceClassification
b8969a6