Text Classification
Transformers
Safetensors
Hungarian
xlm-roberta
hungarian
guilt-assignment
political-communication
two-stage-model
emotion-filtering
babel-emotions
research
Eval Results (legacy)
Instructions to use ringorsolya/GuiltRoBERTa-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ringorsolya/GuiltRoBERTa-hu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ringorsolya/GuiltRoBERTa-hu")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ringorsolya/GuiltRoBERTa-hu") model = AutoModelForSequenceClassification.from_pretrained("ringorsolya/GuiltRoBERTa-hu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K