Text Classification
Transformers
Safetensors
Dutch
English
xlm-roberta
sentiment-analysis
dutch
social-media
context-aware
institutional-communication
Eval Results (legacy)
text-embeddings-inference
Instructions to use MarGPT/xlmr-uantwerp-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarGPT/xlmr-uantwerp-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MarGPT/xlmr-uantwerp-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MarGPT/xlmr-uantwerp-sentiment") model = AutoModelForSequenceClassification.from_pretrained("MarGPT/xlmr-uantwerp-sentiment") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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