Instructions to use gplsi/Toxicity_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gplsi/Toxicity_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gplsi/Toxicity_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gplsi/Toxicity_model") model = AutoModelForSequenceClassification.from_pretrained("gplsi/Toxicity_model") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
language:
- es
Comment classification model according to their toxicity. This model has been obtained by fine-tuning the RoBERTa language model in Spanish (https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne)