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
- Xet hash:
- 6ed9dae1512c1deaf044ff685b0e9253ec98b5ced11dc97aa271bfadc8010a4e
- Size of remote file:
- 3.5 kB
- SHA256:
- 1f4b57e455ef7fd4c27cd03f383b49f3268e008e159a9718c5d33ffd31bca4d7
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