Text Classification
Transformers
PyTorch
Portuguese
bert
toxicity
portuguese
hate speech
offensive language
Generated from Trainer
text-embeddings-inference
Instructions to use dougtrajano/toxicity-target-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dougtrajano/toxicity-target-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dougtrajano/toxicity-target-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dougtrajano/toxicity-target-classification") model = AutoModelForSequenceClassification.from_pretrained("dougtrajano/toxicity-target-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dff7d626298f66cf988fd39fc741638dcc52200683f19e0b4935754fdbb7006
- Size of remote file:
- 436 MB
- SHA256:
- 2494ada141fc9b43ee71dd958e772766aedc9a020ce7e6f7b3a5de7cbcc44948
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