Text Classification
Transformers
PyTorch
bert
classification
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use igmarco/clasificador-hate_speech_offensive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igmarco/clasificador-hate_speech_offensive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="igmarco/clasificador-hate_speech_offensive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("igmarco/clasificador-hate_speech_offensive") model = AutoModelForSequenceClassification.from_pretrained("igmarco/clasificador-hate_speech_offensive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K