Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/refined-bert-base-uncased-Twitter-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/refined-bert-base-uncased-Twitter-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/refined-bert-base-uncased-Twitter-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/refined-bert-base-uncased-Twitter-toxicity") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/refined-bert-base-uncased-Twitter-toxicity") - Notebooks
- Google Colab
- Kaggle
Commit History
End of training 4d92e11 verified
CeciliaS commited on
Training in progress, epoch 3 83e2088 verified
CeciliaS commited on
Training in progress, epoch 1 8ba436b verified
CeciliaS commited on
End of training 919135f verified
CeciliaS commited on
Training in progress, epoch 4 46b0848 verified
CeciliaS commited on
Training in progress, epoch 3 807c9e3 verified
CeciliaS commited on
Training in progress, epoch 1 f5df2fd verified
CeciliaS commited on
initial commit 16d3f83 verified
CeciliaS commited on