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
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/May13_01-09-40_Lees-Air/events.out.tfevents.1683958188.Lees-Air.30886.0
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