Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
sentiment-analysis
text-regression
sentiment-regression
sentiment-classification
parliament
text-embeddings-inference
Instructions to use classla/xlm-r-parlasent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/xlm-r-parlasent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="classla/xlm-r-parlasent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/xlm-r-parlasent") model = AutoModelForSequenceClassification.from_pretrained("classla/xlm-r-parlasent") - Notebooks
- Google Colab
- Kaggle
Ctrl+K