Text Classification
Transformers
PyTorch
TensorBoard
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use DunnBC22/hateBERT-Hate_Offensive_or_Normal_Speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/hateBERT-Hate_Offensive_or_Normal_Speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/hateBERT-Hate_Offensive_or_Normal_Speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/hateBERT-Hate_Offensive_or_Normal_Speech") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/hateBERT-Hate_Offensive_or_Normal_Speech") - Notebooks
- Google Colab
- Kaggle
Ctrl+K