Text Classification
Transformers
Safetensors
xlm-roberta
stance-detection
cross-lingual
multilingual
politics
trackio
Generated from Trainer
text-embeddings-inference
Instructions to use MatteoFasulo/xlm-roberta-xstance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatteoFasulo/xlm-roberta-xstance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatteoFasulo/xlm-roberta-xstance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MatteoFasulo/xlm-roberta-xstance") model = AutoModelForSequenceClassification.from_pretrained("MatteoFasulo/xlm-roberta-xstance") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!