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:
- f4e7f3444e3d9aadc2d593024577610d8f76fe84f2b2479447d9ff006214a785
- Size of remote file:
- 3.7 kB
- SHA256:
- cba7f0f700e8334d403b4ea1fd36eafe7bf0a8acd88ba086b0a5c3c3e1e6dc11
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