Text Classification
Transformers
PyTorch
TensorBoard
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use DunnBC22/bert-base-uncased-Abusive_Or_Threatening_Speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/bert-base-uncased-Abusive_Or_Threatening_Speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/bert-base-uncased-Abusive_Or_Threatening_Speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-Abusive_Or_Threatening_Speech") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/bert-base-uncased-Abusive_Or_Threatening_Speech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c2fd7f846a5cc401950de297a11dc6cffcb3edf8a7f581b3efc872e2bf5aed6
- Size of remote file:
- 438 MB
- SHA256:
- ca9eaf4d389b3a285866890d8eb449c3b26b0295473be2e8c3417ad187868e2c
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