Text Classification
Transformers
PyTorch
Dutch
roberta
Dutch
Flemish
RoBERTa
RobBERT
Eval Results (legacy)
text-embeddings-inference
Instructions to use DTAI-KULeuven/robbertje-merged-dutch-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DTAI-KULeuven/robbertje-merged-dutch-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DTAI-KULeuven/robbertje-merged-dutch-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DTAI-KULeuven/robbertje-merged-dutch-sentiment") model = AutoModelForSequenceClassification.from_pretrained("DTAI-KULeuven/robbertje-merged-dutch-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K