Text Classification
Transformers
PyTorch
Italian
xlm-roberta
text classification
abusive language
hate speech
offensive language
text-embeddings-inference
Instructions to use MilaNLProc/hate-ita-xlm-r-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilaNLProc/hate-ita-xlm-r-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MilaNLProc/hate-ita-xlm-r-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MilaNLProc/hate-ita-xlm-r-large") model = AutoModelForSequenceClassification.from_pretrained("MilaNLProc/hate-ita-xlm-r-large") - Notebooks
- Google Colab
- Kaggle
Ctrl+K