Instructions to use BRlkl/BingoGuard-bert-base-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BRlkl/BingoGuard-bert-base-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BRlkl/BingoGuard-bert-base-pt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BRlkl/BingoGuard-bert-base-pt") model = AutoModelForSequenceClassification.from_pretrained("BRlkl/BingoGuard-bert-base-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature16d8fe3 -
Training in progress, epoch 5
Verified signature505f5bd -
Training in progress, epoch 4
Verified signature6573d0c -
Training in progress, epoch 3
Verified signaturebd488cc -
Training in progress, epoch 2
Verified signature7fa88bf -
Training in progress, epoch 1
Verified signature7f647a9 -
initial commit
Verified signature8d3d01d